1. Overview
  2. Getting Started
    1. Installation
    2. Device Selection
    3. Measuring
    4. Measuring with Stimulus
  3. Data Acquisition Tool Bar
    1. Power Button
    2. Acquisition and Save
    3. Timer
    4. Environment Setting
      1. Gain Adjust
      2. Sampling Frequency
      3. Channel Selection
    5. Control Tool Bar
      1. Time Indication Function
      2. Monitoring Function
    6. Stimulus Setting Tool Bar
      1. Move to Stimulus Setting Tool Bar
      2. Stimulus Setting
        1. When the Stimulus Setting is Turned On
        2. Power Button
        3. Stimulus Setting
        4. Stimulus Setting Window
        5. Stimulus Edit
      3. Move to Data Acquisition Tool Bar
      4. Data Measurement after Stimulus Setting
  4. Data Display Handling
    1. Display Window
    2. Basic Tool Bar
      1. Standard Function
        1. Save
        2. Save As
        3. Copy
        4. Print
      2. Scale Adjustment Functions
        1. Maximum Horizontal Stretching. TeleScan
        2. Gradual Horizontal Stretching
        3. Auto Scale
        4. Maximum Horizontal Compression
        5. Gradual Horizontal Compression
        6. Gradual Vertical Compression
        7. Gradual Vertical Stretching
      3. Display Setting Functions
        1. X-Axis Setting
          1. X-Axis Name
          2. Scale
          3. Scale Range
          4. Axis Line
          5. Grid Line
          6. Scale Display
            1. X-Grid Line
            2. Axis Name
            3. X-Axis Scale
        2. Y-Axis Setting
          1. Axis Name
          2. Scale
          3. Scale Range
            1. Single-Channel
            2. Multi-Channels
          4. Axis Line
          5. Grid Line
          6. Scale Display
            1. Y-Grid Line
            2. Y-Axis Name
            3. Y-Axis Scale
        3. Region Setting
          1. Filling Background
            1. Preset Color
            2. Image File
          2. Background Boundary Line
          3. Graph Region
            1. Preset Color
            2. Image File
          4. Graph Region Boundary Line
          5. Margin
          6. Horizontal/Vertical Ratio
        4. Data Plot Setting
          1. Title of the Graph
          2. Data Style of Each Channel
            1. Title
        5. Event Marker Function
          1. Event Marker Setting
            1. Preset Event
            2. Image File Type
          2. Event Position on Marker
          3. Style of the Title of the Event
            1. Event Marker Display
        6. Zoom
          1. Zoom In
          2. Zoom Out
          3. Auto Scale
        7. Help
    3. Control Tool Bar
      1. Dynamic Function
      2. Graph Setting Function
      3. 3D Graph Setting Tools
        1. 3D Graph Basic Tool Bar
        2. Standard Functions
        3. Rotation Functions
          1. Left Rotation
          2. Right Rotation
          3. Left Translation
          4. Right Translation
          5. Up Translation
          6. Down Translation
        4. Display Setting Functions
          1. X-Axis Setting
            1. Axis Name
            2. Scale
            3. Scale Range
            4. Axis Line
            5. Grid Line
            6. Scale Display
              1. X-Grid Line
              2. X-Axis Name
              3. X-Axis Scale
              4. X-Axis: Brain Mapping
          2. Y-Axis Setting
            1. Axis Name
            2. Scale
            3. Axis Line
            4. Grid Line
            5. Scale Range
              1. Y-Grid Line
              2. Y-Axis Name
              3. Y-Axis Scale
              4. Y-Axis: Brain Mapping
          3. Z-Axis Setting
            1. Axis Name
            2. Scale
            3. Scale Range
            4. Axis Line
            5. Grid Line
            6. Scale Display
              1. Z-Grid Line
              2. Z-Axis Name
              3. Z-Axis Scale
              4. Z-Axis: Brain Mapping
        5. Region Setting
          1. Filling Background
            1. Preset Color
            2. Image File
          2. Background Boundary Line
          3. Graph Region
            1. Preset Color
            2. Image File
          4. Graph Region Boundary Line
          5. Scale bar
            1. Fill Plot Region
            2. Plot Region Boundary
            3. Background Boundary
            4. Scale bar
        6. Data Plot Setting
          1. Projection
          2. Contour: Brain Mapping
          3. Electrodes: Brain Mapping
          4. Transparency (Trans.): Brain Mapping
        7. Zoom
          1. Zoom In
          2. Zoom Out
          3. Auto Scale
    4. 3D Display Control Tool Bar
      1. Dynamic Function
      2. Graph Setting Function
      3. Pop-up Menu
        1. Data Registration
          1. Register the Selected Regions
          2. Register One Horizontal Position
        2. Data Selection
          1. Select All Horizontal Range of the Selected Channels
          2. Select All Channels of the Selected Horizontal Range
          3. Select All Regions
          4. Select the Specific Range and Channels
          5. Activated and Deactivated Items in the Pop-up Menu
        3. Event Setting
          1. Event Marking
            1. Adding a New Event Name in the List
            2. Modifying an Existing Event Name to a New One
            3. Removing an Event Name from the Event List
        4. Send to Report
          1. Send to Report
          2. Report Building
          3. Data Information Setting
          4. Results Setting
          5. Comment Setting
        5. Multi-Time Mode
          1. Add to Fixed State
          2. Fixed State Release
          3. Total Step Number
          4. Event Marking & Control
          5. Sending to Report
          6. Standard Mode
        6. History Mode
  5. Data Analysis
    1. Purpose of Analysis
    2. Analysis Tool Bar
    3. Analysis Window
    4. Use of Analysis Window
      1. Registration as Custom Analysis Method
    5. Analysis Methods
      1. Select
        1. Region
        2. Position
        3. Moving Window
        4. Moving Position
      2. Simple Operation
        1. Matrix Multiplication
        2. Application of Matrix Multiplication
        3. Cutting of the Selected Range
        4. Setting the Selected Regions to a Constant
        5. Inverse
        6. Absolute
        7. Cumulation
        8. Derivative
        9. Natural Logarithm
      3. Rescale
        1. Rescaling by Extremes
        2. Rescaling by Gain and Offset
        3. Rescaling by Mean and Standard Deviation
      4. Simple Parameter Calculation
        1. Slope
        2. Sum
        3. Sum Ratio
        4. Average
        5. Standard Deviation
      5. Resampling
        1. By Polynomial Interpolation
        2. By Rational Function Interpolation
        3. By Cubic Spline Interpolation
      6. Frequency Filtering
      7. FFT (Fast Fourier Transform)
        1. Low Pass FFT-Filtering
        2. High Pass FFT-Filtering
        3. Band Pass FFT-Filtering
        4. Notch FFT-Filtering
      8. IIR (Infinite Impulse Response)
        1. Low Pass IIR-Filtering
        2. High Pass IIR-Filtering
        3. Band Pass IIR-Filtering
        4. Notch IIR-Filtering
      9. Correlation Analysis
      10. Autocorrelation Function
      11. Triple Correlation Function
        1. Pearson’s Correlation
        2. Triple Correlation
        3. Cross Correlation
        4. All-Pair-Cross Pearson Correlation
      12. Power Spectrum Analysis
      13. Power Spectrum
        1. Power Spectrum Estimation by FFT
        2. Time-Frequency Domain
        3. Absolute Band Power
        4. Relative Band Power
        5. Band to Band Power
      14. Statistical Analysis
        1. Histogram
        2. Probability Distribution
        3. Moving Skewness
        4. Moving Kurtosis
      15. Custom Analysis
        1. Register Custom Analysis
        2. Custom Analysis Control

 

 TeleScan Software for Time Series Bio Signals. 

version : 3.2.7.0 ( Release Date : 2017-04-21 )

 

Completely Integrated Software for Time Series Bio Signals.

  • Real-Time Data Acquisition from Measuring Devices.
  • Real-Time Bio Signal with Stimulus 
  • Time Series Data Analysis 
  • Time Series Data Managing

 

 

Getting Started

.

Installation

Download the TeleScan setup program and then double click the exe file.

Setup TeleScan

Setup TeleScan

Setup TeleScan

Setup TeleScan

Setup TeleScan

Setup TeleScan

Setup TeleScan

Setup TeleScan

Setup TeleScan

Setup TeleScan

Setup TeleScan

Setup TeleScan

 

Setup TeleScan

Setup TeleScan

Setup TeleScan

Setup TeleScan

TeleScan

TeleScan

Device Selection

TeleScan supports various devices, you should select the device to communicate. Following video shows how to select the device.

 

 

 

Measuring

TeleScan basic usages. Real time acquisition, displaying and saving the data, changing the device parameters.

 

 

Measuring with Stimulus

If you need measuring the bio signal respond to stimulus, you can set the stimulus environments. Following video shows the simple movie play during bio signal measuring.

 

Data Acquisition Tool Barn

On this window, data acquisition is initiated, executed and saved. Looking like an audio system, it can be easily accessed by anybody. When the button in the shape of a power switch is clicked, data acquisition is initiated. By use of the timer and the environment setting functions, configuration of the equipment at the time of data acquisition can be changed in various ways. When the power button is clicked with the mouse, the parts marked with a red marking are activated.

Data Acquisition Bar

Data Acquisition Bar

Power Button

Before data acquisition, the first thing to do is turn on the power. Only after the button shown next to this paragraph is clicked with the mouse, data acquisition can be progressed.After completion of data acquisition, you should turn it off by clicking this button.

Power Button

Power Button

Acquisition and Save

Start Monitoring Mode Button

Start Monitoring Mode Button

With the power on, click this button if you wish to monitor the status of data acquisition. This button is merely for the purpose of observing the status of data acquisition, and thus its status cannot be saved. When clicking the start monitoring mode button starts data acquisition, the LED on the left hand side turns on in red color to show that data acquisition is in progress. At this time, all the other buttons accept the pause and the stop buttons are deactivated. Accordingly, while data acquisition is in progress, any other operation cannot be performed before pushing the stop button.

Acquisition and Save 1

Acquisition and Save 1

Pause Button

Pause Button

This button is used to stop data acquisition temporarily. If it is desired to restart data acquisition, push this button once again to release the pause state.

Stop Button

Stop Button

This button is used to stop data acquisition is over when the button is pushed, the data save dialog box appears to make it possible to set the location of data storage and the name of the file. Two data file types are available for storage. One is cdf file type, inherent to this program, the other, txt file type, and general text data format. After the data file is named, the user is allowed to save it in whichever format he or she wishes.

Acquisition and Save 2

Acquisition and Save 2

Save Mode Start Button

Save Mode Start Button

This button is used to collect and save the data at the same time. When clicking the start monitoring mode button starts data acquisition, the LED on the left hand side turns on in red color to show that data acquisition is in progress. At this time, all the other buttons accept the pause and the stop buttons are deactivated. Accordingly, while data acquisition is in progress, any other operation cannot be performed before pushing the stop button.

Timer

The timer function has been provided for convenience of the user. In some cases data acquisition takes a short time, and in other cases it takes a long time. Also there are such occasions that the user wishes to collect the data for a fixed period of time. At this time, the timer function can be utilized. In the timer setting area, there is an oval shaped timer setting button in addition to LCD type digital display windows. The numbers in the windows represent the data and the timer setting. The numbers at the top shows the date in day-month-year format. You can see it indicates the 31st of May 2001. The numbers below the timer time set by the user in the order of hour, minute and second.

Timer

Timer

(I) When the oval shaped setting button is clicked, the timer setting dialog box pops up.

(II) Set the time in the order of hour, minute and second. Presently it is set at one hour, 20 minutes and 50 seconds.

(III) The window shows the timer has been set at one hour, 20 minutes and 50 seconds. If the timer is set in this way, data acquisition stops automatically after one hour, 20 minutes and 50 seconds. If data acquisition is started without setting the timer, data acquisition continues until the stop button is pushed.

Environment Setting

Environment Setting

Environment Setting

By use of this screen, the environment necessary for data acquisition by the measuring equipment can be configured. The environment setting can be largely categorized into gain adjustment, sampling frequency and channel selection. All of these are basic settings necessary for data acquisition that have to be configured before data acquisition is started and cannot be changed while data acquisition is in progress.

Gain Adjust

Collected data can have a wide variety of gains. Some have very large amplitude and others have very small amplitude. At this time, it is possible to adjust the amplitudes for better observation by use of gain adjustment. With the dial button as in the picture shown below, gain can be adjusted. With the mouse located at the end of the arrow mark and the left button of the mouse pushed down, you can adjust gain by dragging the mouse to the position you wish to set. By use of this button, the amplitude can be adjusted in 32 steps.

Gain Adjust

Gain Adjust

Sampling Frequency

Frequency, a term to show how many times the wave of the data repeats in a second, is expressed with the unit of Hz (Hertz). Meanwhile, sampling is a technique that is used to convert the analog data to a digital format. Since all the data are processed by a computer, they must go through the process of sampling. The higher the sampling frequency increases, the larger the amount of the digitized data becomes. The available frequencies are 128, 256, 512 and 1,024 Hz. The frequency can be adjusted by moving the frequency selection button with the mouse as in the picture shown below.

Sampling Frequency

Sampling Frequency

Channel Selection

By use of this button, it is possible to measure only the channels the user has selected during data acquisition. In case you wish to select the channels of your preference, click the channel selection button and the channel selection dialog box will appear. By clicking the check box in front of each channel name, you can add or remove that particular channel.

Channel Selection

Channel Selection

Control Tool Bar

In the control tool bar are gathered the functions that are used to facilitate observation of the data. It consists of the dynamic function for dynamic observation of the graph and the graph setting function with which the mode of observation of the graph can be changed in various ways.

Control Bar

Control Bar

Time Indication Function

Time Indication Function

Time Indication Function

The time indicator indicates the time of data acquisition that has elapsed since the beginning. The displayed time is expressed in the unit of second, and the example shows that 2.5 seconds have elapsed.

Monitoring Function

Monitoring Function 1

Monitoring Function 1

The monitoring function allows the user to select the mode of display for observation during data acquisition. In other words, the data are displayed real-time on the screen while they are gathered, and this is the function to configure the shape of the data passing through. It consists of scroll mode and sweep mode.

Monitoring Function 2

Monitoring Function 2

(I) With the scroll mode selected, the graph displayed starts from the right hand side and flows to the left. As it moves on the display window as if water flows, this mode is convenient to observe the trend of changes with time at every moment.

(II) If sweep mode is selected, the graph is drawn from the left hand side. Different from scroll mode that shows the graph flowing with time, sweep mode continues to draw the graph until the whole screen is filled and the procedure repeats afterwards. Thus, the mode is convenient for observation of the shape of the data in a give period of time.

Stimulus Setting Tool Bar

There are largely two different methods of data acquisition. One is to collect the data without giving any stimulus to the subject, the other, to measure them while giving various stimuli to the subject with specific purposes. In case of the former, i.e., data acquisition without giving any stimulus, it is not necessary to use the stimulus setting tool bar. What are the reasons to collect the data giving various stimuli to the subject? The answer may differ from researcher to researcher, but the most important one is to analyze the characteristics of the signals in response to different stimuli. The data are gathered while repetitively giving the subject visual and auditory stimuli such as sound, pictures and animation at the same time. By measuring the data giving stimuli, the change of the signals from the subject in response to stimuli can be understood.Since the stimuli should be generated occasionally during data acquisition, it is necessary to configure the stimuli before data acquisition. That is to say, when the start button for data acquisition is pushed after the stimuli have been configured in the stimulus setting tool bar in advance, the data can be collected while the stimuli are given to the subject.

Move to Stimulus Setting Tool Bar

When Sti tab located at the bottom of the data acquisition tool bar is pushed, the screen moves to stimulus setting tool bar directly.

Move to Stimulus Setting Tool Bar

Move to Stimulus Setting Tool Bar

Stimulus Setting

By use of the stimulus setting tool bar, you can configure all settings necessary for measurement of the data while giving stimuli to the subject. By clicking the power button in the shape of a switch, the stimulus setting related functions marked with a  symbol are activated, so that a variety of stimuli can be configured. Also when the power button is turned on, both the subject stimulus window through which the subject gets the stimuli and the user stimulus monitoring window open automatically at the same time.

Stimulus Setting

Stimulus Setting

When the Stimulus Setting is Turned On

When the Stimulus Setting is Turned On

When the Stimulus Setting is Turned On

The person who configures and gives the stimuli and observes the result is called a user of this program, while the one who gets the stimuli and whose data are measured, a subject. When the power to the stimulus setting tool bar is turned on, the functions of the stimulus setting tool bar are activated on the user’s monitor, and the stimulus monitoring window through which the user can verify the stimuli given appears. In case the user has a video camera installed, he or she can select the video setting in order to observe the subject getting the stimuli and providing the measurement data. The video setting method is explained in Chapter 3. Software Outline. Besides, on the subject’s monitor, only the stimulus window that presents the stimuli appears. While taking the measurement, the subject accepts the stimuli watching this stimulus window.

Power Button

Before configuration of the stimuli, the power to the stimulus setting tool bar should be turned on. By clicking the power button in the shape of a switch, the stimulus setting tool bar is activated, so that a variety of stimuli gets ready for configuration as the user wishes.

Power Button

Power Button

Stimulus Setting

Load Button for a Stimulus Setting Environment

Load Button for a Stimulus Setting Environment

By clicking this button, the file open dialog box shown as below appears, from which an existing file of a stimulus setting environment previously stored can be loaded.

Stimulus Setting

Stimulus Setting

Save Button for a Stimulus Setting Environment

Save Button for a Stimulus Setting Environment

For every experiment, the user should configure the stimulus setting by opening stimulus related files many times. To eliminate these troublesome procedures, the program has provide a function to save all the files that once have been configured. By pushing the save button for a stimulus setting environment, all the stimuli registered in the stimulus setting window is a single file with an extender ‘stf’, which can be reused if necessary.

Stimulus Setting Window

Stimulus Setting Window

Stimulus Setting Window

A stimulus setting window is for configuration as to when and what kinds of stimuli should be given to the subject.  Num. stands for the serial number, Stimulus for the name and path of the stimulus file, and Time(s) for the timings of stimuli. The stimulus setting window next to this paragraph is an example where 16 electrodes have been configured.  By use of wav, avi, bmp and txt files, a variety of stimuli would be given to the subject. In this way, depending on the purpose of data acquisition, the stimulus setting can be configured periodically or randomly by use of various files.

Stimulus Edit

By use of four buttons in the part of the stimulus edit, the types and timings of stimuli can be adjusted for convenience of the user.

Add Button

Add Button

By pushing the add button, the stimulus setting dialog box appears, in which stimulus files and timings can be configured. This button is used when the stimulus setting is configured for the first time or incase it is necessary to configure new stimuli in addition to the ones already existing in the stimulus setting window. The stimulus dialog box can be largely divided into the stimulus file setting, the stimulus repetition setting and the stimulus interval setting.

(I) Stimulus File Setting
When the find file button in the stimulus setting dialog box is clicked, a file open dialog box appears. The user can open and use a wav file for auditory stimulus, a bmp file for stimulus by pictures, an avi file for that by animation, and a txt file for that by characters.

(II) Stimulus Repetition Setting
This part determines how many times a selected stimulus file should be repeated. It is configured into the stimulus setting window as many times as the number entered by the user.

Stimulus Edit 1

Stimulus Edit 1

(III) Stimulus Interval Setting
After the number of repetition has been entered, it is necessary to configure the time interval of stimuli on the basis of the initial stimulus. There are two types of interval settings, i.e., periodic and random. For a random setting, the intervals are set at random automatically within the time range configured. In case of a periodic setting, it is set at the regular interval the user enters in the interval setting field. The number is entered in the unit of second. For example, if a 5 has been entered in the interval setting field, the subject will get stimuli every 5 seconds.

Insert Button

Insert Button

If the user wishes to insert a stimulus before another specific stimulus, the insert button is used. Click with the mouse the location to which the new stimulus should be inserted at first and push the insert button next. By pushing this button, the stimulus setting dialog box will appear. Select the stimulus file to insert by use of this dialog box and set the number of repetition and the interval. Then the new stimulus will show up in the stimulus setting window.

Stimulus Edit 2

Stimulus Edit 2

Delete Button

Delete Button

This button is used to delete a stimulus that has been already configured from the stimulus setting window.  Select the stimulus you wish to delete by clicking it with the mouse and push the delete button.  The stimulus will be removed from the stimulus setting window.

Delete All Button

Delete All Button

This button is used to delete from the stimulus setting window all the stimuli that have been configured.

Stimulus Edit 3

Stimulus Edit 3

Move to Data Acquisition Tool Bar

The stimuli configured by the user are given to the subject occasionally while data acquisition is in progress. Once the stimulus setting window is configured, it is necessary to move to the data acquisition tool bar in order to measure the data. When the Device tab located at the bottom of the stimulus setting tool bar is pushed, the screen moves to the data acquisition tool bar directly as in the picture shown below.

Move to Data Acquisition Tool Bar

Move to Data Acquisition Tool Bar

Data Measurement after Stimulus Setting

After completion of stimulus setting and moving to the data acquisition tool bar, the power button to the data acquisition tool bar should be turned on.  If data acquisition is started under this situation, the stimuli that have been configured are presented in the stimulus window while data acquisition is in progress.  While both data acquisition and stimulation are under way, the data graph in the display window automatically records the timing of the stimulus and its name on every occasion.

Data Measurement after Stimulus Setting

Data Measurement after Stimulus Setting

Data Display Handling

it is explained the procedures which allow the user to convert the data to a form easier to observe or more useful to analysis. The function contained it help make from of the data observable with more convenience and better understanding.

Display Window

The window, through which the form of the data is presented to the user, is called a display window, in which the procedure of real-time data acquisition can be observed and the result of data analysis can be verified.

Display Window 1

Display Window 1

Display Window 2

Display Window 2

Coordinates of the Current Mouse Location

When the mouse is moved in the display window, the coordinates of the vetical and the horizotal axis of the  current mouse lacation are shown on the tool-tip window.

Data Value in the Currently Selected Region

When the data are selected in the display window by use of the mouse, the color is inverted as shown in the picture next to this paragraph. At this time, it is possible to see the amount of the data selected through the tool-tip window. The value of DX represents the width on the horizontal axis of the data selected, while, those of X and Y stand for the values on the X-axis and Y-axis respectively.

Basic Tool Bar

In the toolbox are selectively gathered the basic functions that are used frequently. The tools are in the form of icons so that the user can execute any of them with a single click.  Largely classified there are five types of functions; the standard functions, the scale adjustment functions, the display setting functions, the zoom functions and the help function.

Basic Tool Bar

Basic Tool Bar

Standard Function

The standard functions are those available in any program. The four standard functions of this program consists of Save, Save As, Copy and Print.

Save

Save

Save

It is used to save data when there has been any change in the data from the previous state such as change in the display setting, selection and registration of part of the regions, etc. This function is used to save the change in the data already saved in a cdf file into the same file. When the user clicks Save button to save the present condition, all the current settings in the display window and the analysis window are saved into a single cdf file.

Save As

Save As

Save As

It is used save a set of data in the file with a different name. That is, the file named ‘data1’ can be saved as ‘data2’ by use of this function. There are three options to use Save As function.

(I) Save All Workspace into Another cdf file
It is a function to save all workspace such as the settings registered in the analysis window into another cdf file as well as the data on the display window. In case a variety of analytical methods such as filtering on the data have been applied, each result of analysis appears on the analysis window. This function is useful when the user wishes to save all the information as above together with the data. That is, it saves all the information the user has configured in the workspace into a single set very conveniently.

(II) Save the Current Sheet in cdf Format
This function saves the data presently visible on the display window in a cdf file. It is a very handy function in case the size of the data in all workspace is too big or the user needs the data on the current sheet only.

(III) Save the Current Sheet in Text Format
This function saves the data presently visible on the display window in a text file. If it is desired to save the data of the current sheet in a text file, compatible with a variety of application programs, this function can be sued.

Copy

Copy 1

Copy 1

By use of Copy function, the resulting data can be copied directly in the form of an image file. Thus, it is possible to insert the image file into a word processor program such as MS Word and Hangul or a graphic program such as Paint. By clicking Copy icon or pushing Ctrl+C, the color of the resulting graph is inverted as follows to show the user it has been copied. By Paste function, the graph can be pasted into another program.

Copy 2

Copy 2

Scale Adjustment Functions

It is a collection of functions to adjust the scales of the data shown on the display window in different ways. The display of the data can be stretched or compressed in the horizontal or the vertical axis, as the user may need. By use of the function the data can be observed with higher efficiency.

Maximum Horizontal Stretching. TeleScan

Maximum Horizontal Stretching 1

Maximum Horizontal Stretching 1

This function shows all the data collected, by stretching them to the maximum on the horizontal axis. It can be conveniently used when observing the shape of the data in full detail.

Maximum Horizontal Stretching 2

Maximum Horizontal Stretching 2

Gradual Horizontal Stretching

Gradual Horizontal Stretching 1

Gradual Horizontal Stretching 1

It is possible to observe the data in more detail by stretching the data on the horizontal axis gradually. Every time the icon is clicked, the scale of the data widens step by step.

Gradual Horizontal Stretching 2

Gradual Horizontal Stretching 2

Auto Scale

Auto Scale 1

Auto Scale 1

It is used to restore the display window back to the initial state, after observing the data by compressing or stretching.

Auto Scale 2

Auto Scale 2

Maximum Horizontal Compression

Maximum Horizontal Compression 1

Maximum Horizontal Compression 1

The function makes it possible to compress all the data collected and show them in a single display window. The overall trend of the changing data can be observed at a glance.

Maximum Horizontal Compression 2

Maximum Horizontal Compression 2

Gradual Horizontal Compression

Gradual Horizontal Compression 1

Gradual Horizontal Compression 1

It is possible to observe all the data collected, compressing them step-by-step on the horizontal axis. Every click on the icon by the mouse increases the amount of the data displayed.

Gradual Horizontal Compression 2

Gradual Horizontal Compression 2

Gradual Vertical Compression

Gradual Vertical Compression 1

Gradual Vertical Compression 1

The function shows the data collected in the display window compressing them step by step on the vertical axis. Every time the icon is clicked, you can see that the scale becomes narrower and the amplitude of the data smaller. In case the data scale has been adjusted vertically, a vertical scroll bar is created if the whole graph can not be shown in the given display window. The data not shown on the window can be seen by moving the scroll bar.

Gradual Vertical Compression 2

Gradual Vertical Compression 2

Gradual Vertical Stretching

Gradual Vertical Stretching 1

Gradual Vertical Stretching 1

The function displays the data collected, stretching them step by step on the vertical axis. Every time the icon is clicked, the data scale becomes wider and the amplitude larger.

Gradual Vertical Stretching 2

Gradual Vertical Stretching 2

Display Setting Functions

With the display setting functions, it is possible to set the look of the display window as the user wishes before observation of the data. The functions help the user observe the data more effectively, for example, by changing the background color, the color of the graph, the settings of X-axis or Y-axis, etc.

X-Axis Setting

X-Axis Setting 1

X-Axis Setting 1

It is used to configure all the functions related to the vertical axis or axis among the graphic related functions shown on the display window. By clicking the icon, a dialog box as shown below pops up to help the user change the settings easily. Largely categorized, the dialog box consists of seven different areas.

X-Axis Setting 2

X-Axis Setting

X-Axis Name

By use of this setting, the name of X-axis on the graph can be displayed or deleted. As shown below, it is written in the space below the X-axis of the data and is located at the center of the overall graph. It can be configured in various ways by changing the settings of the type, the size and the color of the font from the X-axis Setting Dialog Box as explained above.

X-Axis Name

X-Axis Name

Scale

In the X-axis setting dialog box, this part is used to change the setting of the X-axis scale font. It is possible to change the font face, size, color and style of the scale, as the user wishes.

Scale

Scale

Scale Range

In the X-axis setting dialog box, this part is used to change the setting of the scale range.  It is possible to adjust the minimum and maximum values and the interval between the values for best convenience of the user.

Scale Range

Scale Range

Axis Line

In the X-axis setting dialog box, this part helps the user change the width and color of the X-axis line and set the graph the way the user wishes to display.

Axis Line

Axis Line

Grid Line

In the X-axis Setting Dialog Box, this part helps the user change the width and color of the X-axis grid line and set the graph the way the user wishes to display.

Grid Line

Grid Line

Scale Display

In the X-axis setting dialog box, this part is used to enter the unit name of the X-axis scale figures, determine the display style of the figures or set the location of the scale display. It is recommendable to enter the unit of the scale for clear indication of the significance of the figures on the graph, but the field may be left blank in case no indication is preferred.

Scale Display

Scale Display

X-Grid Line

By selection of this function, it is possible to show or hide the X-axis grid lines for indication of the intervals on X-axis as shown below. It can be configured in various ways by changing the settings of the width, style and color of the grid line from the X-axis setting dialog box as explained above.

X-Grid Line

X-Grid Line

Axis Name

In the X-axis setting dialog box, this part is used to change the setting of the X-axis name.  It is possible to change the font face, size, color and style of X-axis name as well as the name itself, as the user wishes.

Axis Name

Axis Name

X-Axis Scale

By use of this setting, the scale of X-axis on the graph can be displayed or deleted. It is written in the space below the X-axis of the data and can be configured for convenient use if the accurate time of the given data is necessary. It can be configured in various ways by changing the settings of the type, the size and the color of the font from the X-axis Setting Dialog Box as explained above.

X-Axis Scale

X-Axis Scale

Y-Axis Setting

Y-Axis Setting 1

Y-Axis Setting 1

It is used to configure all the functions related to the vertical axis or axis among the graphic related functions shown on the display window. By clicking the icon, a dialog box as shown below pops up to help the user change the settings easily. Largely categorized, the dialog box consists of seven different areas. There are two types of Y-axis setting dialog boxes, a single-channel dialog box and a multi-channel one. Depending on the number of channels, one of the dialog boxes is automatically selected. Largely categorized, each dialog box consists of seven different areas.

Y-Axis Setting 2

Y-Axis Setting 2

Axis Name

In the Y-axis setting dialog box, this part is used to change the setting of the Y-axis name. It is possible to change the font face, size, color and style of Y-axis name as well as the name itself, as the user wishes.

Axis Name

Axis Name

Scale

In the Y-axis setting dialog box, this part is used to change the setting of the Y-axis scale font. It is possible to change the font face, size, color and style of the scale, as the user wishes.

Scale

Scale

Scale Range

In the X-axis setting dialog box, this part is used to change the setting of the scale range.  It is possible to adjust the minimum and maximum values and the interval between the values for best convenience of the user.

Single-Channel

Single-Channel

Single-Channel

Multi-Channels

Multi-Channels 1

Multi-Channels 1

Multi-Channels 2

Multi-Channels 2

  • Changing the Minimum and Maximum Values of the First Channel to -150 and 150
  • Changing the name of the Second Channel to Channel 2.
  • Changing the Minimum and Maximum Values of the First Channel to -15 and 15
  • Changing the Interval Value of the Fourth Channel to Channel 5.

Axis Line

In the Y-axis setting dialog box, this part helps the user change the width and color of the Y-axis line and set the graph the way the user wishes to display.

Axis Line

Axis Line

Grid Line

In the Y-axis Setting Dialog Box, this part helps the user change the width and color of the Y-axis grid line and set the graph the way the user wishes to display.

Grid Line

Grid Line

Scale Display

In the Y-axis setting dialog box, this part is used to enter the unit name of the Y-axis scale figures, determine the display style of the figures or set the location of the scale display. It is recommendable to enter the unit of the scale for clear indication of the significance of the figures on the graph, but the field may be left blank in case no indication is preferred.

Scale Display

Scale Display

Y-Grid Line

By selection of this function, it is possible to show or hide the Y-axis grid lines for indication of the intervals on Y-axis as shown below. It can be configured in various ways by changing the settings of the width, style and color of the grid line from the Y-axis setting dialog box as explained above.

Y-Grid Line

Y-Grid Line

Y-Axis Name

By use of this setting, the name of Y-axis on the graph can be displayed or deleted. As shown below, it is written in the space below the Y-axis of the data and is located at the center of the overall graph. It can be configured in various ways by changing the settings of the type, the size and the color of the font from the Y-axis Setting Dialog Box as explained above.

Y-Axis Name

Y-Axis Name

Y-Axis Scale

By use of this setting, the scale of Y-axis on the graph can be displayed or deleted. It is written in the space below the Y-axis of the data and can be configured for convenient use if the accurate time of the given data is necessary. It can be configured in various ways by changing the settings of the type, the size and the color of the font from the Y-axis Setting Dialog Box as explained above.

Y-Axis Scale

Y-Axis Scale

Region Setting

Region Setting 1

Region Setting 1

When this icon is clicked, the display window setting dialog box pops up in which the graphic setting functions for the display window are gathered. For example, it is possible to make changes to the color of the display window and the margins of the graph. By clicking the icon, a dialog box as shown below pops up to help the user change the settings easily. Largely categorized, the dialog box consists of seven different areas.

Region Setting 2

Region Setting 2

Filling Background

In the region setting dialog box, this part is used to change the background color of the display window. It is possible to select and use the color the user wants or designate one of the bmp type image files as the background of the display window.

Preset Colo

Preset Color

Preset Color

Image File

It is used to apply a bmp type image file for the background of the display window the user wishes. Any image file of bit map type can be designated as the background for various ornamentation of the background.

Image File

Image File

Background Boundary Line

In the region setting dialog box, this part is used to change the boundary lines of the display window.  It is possible to select the width, the style and the color of the boundary lines as the user wishes for various ornamentation of the display window.

Background Boundary Line

Background Boundary Line

Graph Region

In the region setting dialog box, this part is used to change the color of the graph region.  It is possible to select and use the color the user wants or designate one of the bmp type image files as the background of the display window for various ornamentation of the display window.

Preset Color

Preset Color

Preset Color

Image File

It is used to apply a bmp type image file for the graph region of the display window the user wishes. Any image file of bit map type can be designated as the graph region for various ornamentation of the graph region.

Image File

Image File

Graph Region Boundary Line

In the region setting dialog box, this part is used to change the style of the graph region boundary lines. It is possible to select the width, style and color of the boundary lines as the user wishes for various ornamentation of the display window.

Graph Region Boundary Line

Graph Region Boundary Line

Margin

In the region setting dialog box, this part is used to change the margins between the background display and the graph. The space between the background display and the graph is called a margin, which exists at the top, bottom, right and left of the graph. For more effective observation of the data, the margins can be determined in accordance with the convenience of the user.

Margin

Margin

Horizontal/Vertical Ratio

This is a function to set the H/V ratio of a graph plotted on the display window. The default ratio is set to match with the display window. However, on some occasions the user may want 1:1 ratio (a square graph) or any other specific ratio. At this time, the ratio setting in the display window setting dialog box can be utilized. In case the user has configured the H/V ratio setting, the graph will expand or compress maintaining the preset ratio when the size of the display window is adjusted.

Horizontal/Vertical Ratio

Horizontal/Vertical Ratio

Data Plot Setting

Data Plot Setting 1

Data Plot Setting 1

By clicking this icon, a dialog box pops up in which a variety of data plot settings can be configured. It is possible to insert a title into a graph and to change the color and style for individual channels. As shown below, the data plot setting dialog box consists of three major categories.

Data Plot Setting 2

Data Plot Setting 2

Title of the Graph

This part of the data plot setting dialog box is used to set the title of a graph. When the user inserts the title of a graph, it appears at the center of the top of the graph. The font face, size, color and style of the title can be configured as the user wishes.

Title of the Graph

Title of the Graph

Data Style of Each Channel

This part of the data plot setting dialog box is used to set the color, marker, style and width of the data on each channel. For multi-channel data, the function is very convenient, as it is possible to adjust the color, width and style for clear distinction between channels.  Besides, by use of the marker function, a marker of the shape as the user wishes to use can be inserted at the location of the sampling time.

Data Style of Each Channel 1

Data Style of Each Channel 1

Data Style of Each Channel 2

Data Style of Each Channel 2

Title

By use of this setting, it is possible to show or hide the title of a graph at the center of the top of the graph. By clicking the data plot setting icon in the display setting of the basic tool bar, the font face and style can be variously ornamented.

Title

Title

Event Marker Function

Event Marker Function 1

Event Marker Function 1

The event marker function is used to insert a marker in the form of a memo for an event that occurs at a specific point of time. By clicking the event marker icon, the event marker dialog box shows up, in which it is possible to change the figure, color, font face, size, etc. Modification of the event to the style the user prefers is helpful for convenient observation of data.

Event Marker Function 2

Event Marker Function 2

Event Marker Setting

This is used to change the style of the marker that is inserted at the position where an event occurs. The position of the event can be variously marked with a straight line, a   symbol or one of the four different arrow symbols. Besides, the color of the event marker also can be changed, or a user’s image file (bmp file type) can be used as a marker.

Preset Event

Preset Event

Preset Event

Image File Type

This is used when the user wants to change the event marker to an image file (bmp file) instead of preset symbols. Any image file can be used as far as it is an image file of bit map type for diversification of the shapes of event markers.

Image File Type

Image File Type

Event Position on Marker

When an event is marked, the title of the event is shown along with the event marker. The event marker is shown at the location where the user has selected with the mouse. But the position of the event title can be moved for convenience of the user. One of the five positions may be selected out of top, bottom, center, right and left, with regard to the event marker.

Event Position on Marker

Event Position on Marker

Style of the Title of the Event

By use of this setting, it is possible to configure the color, font face, size, etc., as the user wishes. It is convenient to adopt a style easy for the user to observe or the one he or she frequently uses.

Style of the Title of the Event

Style of the Title of the Event

Event Marker Display

This is a function to set whether to show or hide in the display window the event marker the user has configured.

Event Marker Display

Event Marker Display

Zoom

By use of the zoom functions, it is possible to zoom in or out the data the user has selected. As in the figure shown below, the user should locate the mouse on the data to which he or she wishes to apply the zoom functions and drag it with its right button pushed down. Otherwise, the zoom icon remains deactivated and cannot be used. By zooming in or out the data, it is possible to make comparison with the other data and perform analysis.

Zoom

Zoom

Zoom In

Zoom In

Zoom In

This is a function to expand and observe the selected data. The user can observe the data by expanding them as much as he or she wishes by clicking the icon repeatedly.

Zoom In 2

Zoom In 2

Zoom Out

Zoom Out

Zoom Out

This is a function to compress and observe the selected data. The user can observe the data by compressing them as much as he or she wishes by clicking the icon repeatedly.

Zoom Out 2

Zoom Out 2

Auto Scale

Auto Scale

Auto Scale

This icon is used to restore the data to the original condition after zooming in or out. By a single click on this icon, the scale of the data goes back to the initial state.

Auto Scale 2

Auto Scale 2

Help

By clicking this function, the dialog box shown below pops up. As this dialog box is linked to the home page and email address of our head office, it is convenient to send any question directly to us.

Control Tool Bar

In the control tool bar are gathered the functions that are used to facilitate observation of the data. It consists of the dynamic function for dynamic observation of the graph and the graph setting function with which the mode of observation of the graph can be changed in various ways.

Control Tool Bar

Control Tool Bar

Dynamic Function

Dynamic Function

Dynamic Function

This is a function used to observe the trend of the data or the result of analysis dynamically changing with time. In case an analysis method has been adopted, the dynamic function in the control tool bar is activated. The details of this function are explained in Chapter 6. Data Analysis.

Graph Setting Function

Graph Setting Function 1

Graph Setting Function 1

By use of this function, it is possible to change the form of the graph shown in the display window in various ways. It provides graphs of filled stick type and other variations in addition to those of line styles.

Graph Setting Function 2

Graph Setting Function 2

Graph Setting Function 3

Graph Setting Function 3

3D Graph Setting Tools

Depending on the result of analysis, the data can be provided in a 2-D or 3-D graph.  In case of a 2-D graph, the setting of the display environment can be changed in the basic tool bar and the display tool bar, so that the user may ornament the display window in the style he or she prefers.  In case of a 3-D graph, the display window may be configured by used of the basic tool bar and the display tool bar, however, the shapes and functions of the icons are different to suit the characteristics of 3-D graphs.

3D Graph Setting Tools

3D Graph Setting Tools

3D Graph Basic Tool Bar

In the 3-D basic tool bar are selectively gathered the functions that are frequently used to change the settings of graphs and the display window. The icons have been designed with the characteristics of each function reflected, so that the user could identify the one he or she wants intuitively. According to the characteristics of the functions, they are categorized into the standard functions, the rotation functions, the display setting functions, the zoom functions and the help function.

3D Graph Basic Tool Bar

3D Graph Basic Tool Bar

Standard Functions

The standard functions are those available in any program. The four standard functions of this program consists of ‘Save’, ‘Save As’, ‘Copy’ and ‘Print’. As they are same as the standard functions for a 2-D graph, we skip the detail explanation. Please refer to the explanation provided previously!

Rotation Functions

In case of a 3-D graph, it is very difficult to observe a graph from a single direction.  Since the graph is plotted three-dimensionally, it is necessary to rotate the data and observe from different angles for effective observation of the result. The rotation functions, having been made into icons, can be easily used with clicks on the mouse only. By use of these functions, you can rotate a 3-D graph without restriction and observe the result more effectively.

Left Rotation

Left Rotation 1

Left Rotation 1

This rotates a 3-D graph plotted in the display window to the left. On each click of the mouse, the graph rotates to the left by a preset angle. You can observe the graph rotating it gradually to the left by clicking on the icon as much as you wish.

Left Rotation 2

Left Rotation 2

Right Rotation

Right Rotation 1

Right Rotation 1

This rotates a 3-D graph plotted in the display window to the right. On each click of the mouse, the graph rotates to the right by a preset angle. You can observe the graph rotating it gradually to the right by clicking on the icon as much as you wish.

Right Rotation 2

Right Rotation 2

Left Translation

Left Translation 1

Left Translation 1

This translates a 3-D graph plotted in the display window to the left. On each click of the mouse, the graph rotates to the left by a preset interval. You can observe the graph moving it gradually to the left by clicking on the icon as much as you wish.

Left Translation 2

Left Translation 2

Right Translation

Right Translation 1

Right Translation 1

This translates a 3-D graph plotted in the display window to the right. On each click of the mouse, the graph rotates to the right by a preset interval. You can observe the graph moving it gradually to the right by clicking on the icon as much as you wish.

Right Translation 2

Right Translation 2

Up Translation

Up Translation 1

Up Translation 1

This translates a 3-D graph plotted in the display window upward. On each click of the mouse, the graph moves upward by a preset interval. You can observe the graph moving it gradually upward by clicking on the icon as much as you wish.

Up Translation 2

Up Translation 2

Down Translation

Down Translation 1

Down Translation 1

This translates a 3-D graph plotted in the display window downward. On each click of the mouse, the graph moves downward by a preset interval. You can observe the graph moving it gradually upward by clicking on the icon as much as you wish.

Down Translation 2

Down Translation 2

In addition to the free rotations of a 3-D graph by use of the icons in the basic tool bar, it can also be rotated by use of the left button of the mouse very conveniently.

Display Setting Functions

By use of display setting functions, it is possible to configure not only display window but also various settings of the graph as the user wishes.  For example, these functions can be used when you wish to change the color of the display window and the graph, the name, size, font of the X, Y and Z-axis, etc.

X-Axis Setting

X-Axis Setting 1

X-Axis Setting 1

It is used to configure all the functions related to the vertical axis or axis among the graphic related functions shown on the display window. By clicking the icon, a dialog box as shown below pops up to help the user change the settings easily. Largely categorized, the dialog box consists of seven different areas.

X-Axis Setting 2

X-Axis Setting 2

Axis Name

In the X-axis setting dialog box, this part is used to change the setting of the 3D display X-axis name. It is possible to change the font face, size, color and style of X-axis name as well as the name itself, as the user wishes.

Axis Name 1

Axis Name 1

Axis Name 2

Axis Name 2

Scale

In the X-axis setting dialog box, this part is used to change the setting of the 3D display X-axis scale font. It is possible to change the font face, size, color and style of the scale, as the user wishes.

Scale

Scale

Scale Range

In the X-axis setting dialog box, this part is used to change the setting of the 3D display scale range. It is possible to adjust the minimum and maximum values and the interval between the values for best convenience of the user.

Scale Range

Scale Range

Axis Line

In the X-axis setting dialog box, this part helps the user change the width and color of the 3D display X-axis line and set the graph the way the user wishes to display.

Axis Line

Axis Line

Grid Line

In the X-axis Setting Dialog Box, this part helps the user change the width and color of the 3D display X-axis grid line and set the graph the way the user wishes to display.

Grid Line

Grid Line

Scale Display

In the X-axis setting dialog box, this part is used to enter the unit name of the 3D display X-axis scale figures, determine the display style of the figures or set the location of the scale display. It is recommendable to enter the unit of the scale for clear indication of the significance of the figures on the graph, but the field may be left blank in case no indication is preferred.

Scale Display

Scale Display

X-Grid Line

X-Grid Line 1

X-Grid Line 1

By selection of this function, it is possible to show or hide the X-axis grid lines for indication of the intervals on X-axis as shown below. It can be configured in various ways by changing the settings of the width, style and color of the grid line from the X-axis setting dialog box as explained above.

X-Grid Line 2

X-Grid Line 2

X-Axis Name

X-Axis Name 1

X-Axis Name 1

By use of this setting, the name of X-axis on the graph can be displayed or deleted. As shown below, it is written in the space below the X-axis of the data and is located at the center of the overall graph. It can be configured in various ways by changing the settings of the type, the size and the color of the font from the X-axis Setting Dialog Box as explained above.

X-Axis Name 2

X-Axis Name 2

X-Axis Scale

X-Axis Scale 1

X-Axis Scale 1

By use of this setting, the scale of X-axis on the graph can be displayed or deleted. It is written in the space below the X-axis of the data and can be configured for convenient use if the accurate time of the given data is necessary. It can be configured in various ways by changing the settings of the type, the size and the color of the font from the X-axis Setting Dialog Box as explained above.

X-Axis Scale 2

X-Axis Scale 2

X-Axis: Brain Mappin

X-Axis: Brain Mapping 1

X-Axis: Brain Mapping 1

This is a function used for a brain mapping analysis graph. By use of this setting, it is possible to show or hide the X-axis of the graph. Using the X-axis setting icon in the basic tool bar, you can also ornament the font face, size and the style of the axis in various ways.

X-Axis: Brain Mapping 2

X-Axis: Brain Mapping 2

Y-Axis Setting

Y-Axis Setting 1

Y-Axis Setting 1

It is used to configure all the functions related to the vertical axis or axis among the graphic related functions shown on the display window. By clicking the icon, a dialog box as shown below pops up to help the user change the settings easily. Largely categorized, the dialog box consists of seven different areas. There are two types of Y-axis setting dialog boxes, a single-channel dialog box and a multi-channel one. Depending on the number of channels, one of the dialog boxes is automatically selected. Largely categorized, each dialog box consists of seven different areas.

Y-Axis Setting 2

Y-Axis Setting 2

Axis Name

In the Y-axis setting dialog box, this part is used to change the setting of the 3D Display Y-axis name. It is possible to change the font face, size, color and style of Y-axis name as well as the name itself, as the user wishes.

Axis Name

Axis Name

Scale

In the Y-axis setting dialog box, this part is used to change the setting of the 3D display Y-axis scale font. It is possible to change the font face, size, color and style of the scale, as the user wishes.

Scale

Scale

Axis Line

In the Y-axis setting dialog box, this part helps the user change the width and color of the 3D display Y-axis line and set the graph the way the user wishes to display.

Axis Line

Axis Line

Grid Line

In the Y-axis Setting Dialog Box, this part helps the user change the width and color of the 3D display Y-axis grid line and set the graph the way the user wishes to display.

Grid Line

Grid Line

Scale Range

In the Y-axis setting dialog box, this part is used to change the setting of the scale range.  It is possible to adjust the minimum and maximum values and the interval between the values for best convenience of the user. In case of Y-axis, scale range according to single-channel and multi-channel.

Scale Range

Scale Range

Y-Grid Line

Y-Grid Line 1

Y-Grid Line 1

By selection of this function, it is possible to show or hide the 3D display Y-axis grid lines for indication of the intervals on Y-axis as shown below. It can be configured in various ways by changing the settings of the width, style and color of the grid line from the Y-axis setting dialog box as explained above

Y-Grid Line 2

Y-Grid Line 2

Y-Axis Name

Y-Axis Name

Y-Axis Name

By use of this setting, the name of 3D display Y-axis on the graph can be displayed or deleted. As shown below, it is written in the space below the Y-axis of the data and is located at the center of the overall graph. It can be configured in various ways by changing the settings of the type, the size and the color of the font from the Y-axis Setting Dialog Box as explained above.

Y-Axis Name 2

Y-Axis Name 2

Y-Axis Scale

Y-Axis Scale 1

Y-Axis Scale 1

By use of this setting, the scale of 3D display Y-axis on the graph can be displayed or deleted. It is written in the space below the Y-axis of the data and can be configured for convenient use if the accurate time of the given data is necessary. It can be configured in various ways by changing the settings of the type, the size and the color of the font from the Y-axis Setting Dialog Box as explained above.

Y-Axis Scale 2

Y-Axis Scale 2

Y-Axis: Brain Mapping

Y-Axis: Brain Mapping 1

Y-Axis: Brain Mapping 1

This is a function used for a brain mapping analysis graph. By use of this setting, it is possible to show or hide the Y-axis of the graph. Using the Y-axis setting icon in the basic tool bar, you can also ornament the font face, size and the style of the axis in various ways.

Y-Axis: Brain Mapping 2

Y-Axis: Brain Mapping 2

Z-Axis Setting

Z-Axis Setting 1

Z-Axis Setting 1

It is used to configure all the functions related to the vertical axis or axis among the graphic related functions shown on the display window. By clicking the icon, a dialog box as shown below pops up to help the user change the settings easily. Largely categorized, the dialog box consists of seven different areas.

Z-Axis Setting 2

Z-Axis Setting 2

Axis Name

In the Z-axis setting dialog box, this part is used to change the setting of the 3D Display Z-axis name. It is possible to change the font face, size, color and style of Z-axis name as well as the name itself, as the user wishes.

Axis Name

Axis Name

Scale

In the Z-axis setting dialog box, this part is used to change the setting of the 3D display Z-axis scale font. It is possible to change the font face, size, color and style of the scale, as the user wishes.

Scale

Scale

Scale Range

In the Z-axis setting dialog box, this part is used to change the setting of the 3D display scale range. It is possible to adjust the minimum and maximum values and the interval between the values for best convenience of the user.

Scale Range

Scale Range

Axis Line

In the Z-axis setting dialog box, this part helps the user change the width and color of the 3D display Z-axis line and set the graph the way the user wishes to display.

Axis Line

Axis Line

Grid Line

In the Z-axis Setting Dialog Box, this part helps the user change the width and color of the 3D display Z-axis grid line and set the graph the way the user wishes to display.

Grid Line

Grid Line

Scale Display

In the X-axis setting dialog box, this part is used to enter the unit name of the X-axis scale figures, determine the display style of the figures or set the location of the scale display. It is recommendable to enter the unit of the scale for clear indication of the significance of the figures on the graph, but the field may be left blank in case no indication is preferred.

Z-Grid Line

Z-Grid Line 1

Z-Grid Line 1

By selection of this function, it is possible to show or hide the 3D display Z-axis grid lines for indication of the intervals on Z-axis as shown below. It can be configured in various ways by changing the settings of the width, style and color of the grid line from the Z-axis setting dialog box as explained above.

Z-Grid Line 2

Z-Grid Line 2

Z-Axis Name

Z-Axis Name 1

Z-Axis Name 1

By use of this setting, the name of 3D Z-axis on the graph can be displayed or deleted. As shown below, it is written in the space below the Z-axis of the data and is located at the center of the overall graph. It can be configured in various ways by changing the settings of the type, the size and the color of the font from the Z-axis Setting Dialog Box as explained above.

Z-Axis Name 2

Z-Axis Name 2

Z-Axis Scale

Z-Axis Scale 1

Z-Axis Scale 1

By use of this setting, the scale of 3D display Z-axis on the graph can be displayed or deleted. It is written in the space below the Z-axis of the data and can be configured for convenient use if the accurate time of the given data is necessary. It can be configured in various ways by changing the settings of the type, the size and the color of the font from the Z-axis Setting Dialog Box as explained above.

Z-Axis Scale 2

Z-Axis Scale 2

Z-Axis: Brain Mapping

Z-Axis: Brain Mapping 1

Z-Axis: Brain Mapping 1

This is a function used for a brain mapping analysis graph. By use of this setting, it is possible to show or hide the Z-axis of the graph. Using the Z-axis setting icon in the basic tool bar, you can also ornament the font face, size and the style of the axis in various ways.

Z-Axis: Brain Mapping 2

Z-Axis: Brain Mapping 2

Region Setting

When this icon is clicked, the display window setting dialog box pops up in which the graphic setting functions for the display window are gathered. For example, it is possible to make changes to the color of the display window and the margins of the graph. By clicking the icon, a dialog box as shown below pops up to help the user change the settings easily. Largely categorized, the dialog box consists of seven different areas.

Region Setting

Region Setting

Filling Background

In the region setting dialog box, this part is used to change the background color of the display window. It is possible to select and use the color the user wants or designate one of the bmp type image files as the background of the display window.

Preset Color

Preset Color

Preset Color

Image File

It is used to apply a bmp type image file for the background of the display window the user wishes. Any image file of bit map type can be designated as the background for various ornamentation of the background.

Image File

Image File

Background Boundary Line

In the region setting dialog box, this part is used to change the boundary lines of the display window. It is possible to select the width, the style and the color of the boundary lines as the user wishes for various ornamentation of the display window.

Background Boundary Line

Background Boundary Line

Graph Region

In the region setting dialog box, this part is used to change the color of the graph region. It is possible to select and use the color the user wants or designate one of the bmp type image files as the background of the display window for various ornamentation of the display window.

Preset Color

Preset Color

Preset Color

Image File

It is used to apply a bmp type image file for the graph region of the display window the user wishes. Any image file of bit map type can be designated as the graph region for various ornamentation of the graph region.

Image File

Image File

Graph Region Boundary Line

In the region setting dialog box, this part is used to change the style of the graph region boundary lines. It is possible to select the width, style and color of the boundary lines as the user wishes for various ornamentation of the display window.

Graph Region Boundary Line

Graph Region Boundary Line

Scale bar

The scale bar means the function to express the Z-axis scale of a 3-D graph for easy understanding of the user. Height is the value to show the height of the scale bar; Width, its width; Top, the distance from the top of the left hand side of the display window; and Left, the distance from left hand side of the display window. Each value is ratio to 100 with the whole height or width of the display window taken as 100.

Scale bar

Scale bar

Fill Plot Region

Fill Plot Region 1

Fill Plot Region 1

By use of this setting it is possible to fill the graph into the plot region only.  When displaying the result of an analysis, you can use the function to emphasize the data. It is very convenient for ornamentation of the graph, as you can insert an image file (bmp file type) of your choice, not to mention selection of the color of your choice.

Fill Plot Region 2

Fill Plot Region 2

Plot Region Boundary

Plot Region Boundary 1

Plot Region Boundary 1

By use of this setting, it is possible to boundary of the plot region of a 3-D graph.  You can use it if you want to display a better-looking graph.

Plot Region Boundary 2

Plot Region Boundary 2

Background Boundary

Background Boundary 1

Background Boundary 1

This also is a function to set the boundary on the whole display window in accordance with the convenience of the user. In case the boundary is drawn as shown below, the color, width and style of the boundary can be variously ornamented, and, the function is available by utilization of the display window setting dialog box among the graphic setting functions in the basic tool bar.

Background Boundary 2

Background Boundary 2

Scale bar

Scale bar 1

Scale bar 1

When a 3-D graph is plotted, the scale bar is also plotted next to it. The scale bar is helpful to indicate the scale of the Z-axis in a 3-D graph.  If the scale bar is not needed, you can hide it in the display window by not configuring the scale bar.

Scale bar 2

Scale bar 2

Data Plot Setting

Data Plot Setting 1

Data Plot Setting 1

This part in the display window setting dialog box is used to change the color of the graph.  It is possible to ornament the graph by selecting the color for the maximum and minimum values of user’s choice or making use of the rainbow colors for more colorful display.

Data Plot Setting 2

Data Plot Setting 2

Projection

Projection 1

Projection 1

This setting, applicable to both a general 3-D graph and a brain mapping analysis graph, is used to project and observe a 3-D graph on a 2-D surface.

Projection 2

Projection 2

Contour: Brain Mapping

Contour: Brain Mapping

Contour: Brain Mapping

This setting is a function used for a brain mapping analysis graph. By use of this setting, the values on the surface of a head can be observed more in detail.  Looking at a brain mapping graph, you can see that the values of each channel can be different or similar. If the same values are interconnected to form a contour, the resulting graph becomes much easier to analyze as the difference between the values can be judged conveniently.

Contour: Brain Mapping 2

Contour: Brain Mapping 2

Electrodes: Brain Mapping

Electrodes: Brain Mapping 1

Electrodes: Brain Mapping 1

This setting is a function used for a brain mapping analysis graph. By use of this setting, the positions of electrodes for each channel can be shown.

Electrodes: Brain Mapping 2

Electrodes: Brain Mapping 2

Transparency (Trans.): Brain Mapping

Transparency (Trans.): Brain Mapping 1

Transparency (Trans.): Brain Mapping 1

This setting is a function used for a brain mapping analysis graph. A brain mapping graph puts a membrane on the head and indicates the positions of electrodes with different colors.  Therefore it is difficult to find out at which part of the actual head it is located. By use of this setting, the membrane put on the head is made transparent for more detailed view of the actual positions on the head.

Transparency (Trans.): Brain Mapping 2

Transparency (Trans.): Brain Mapping 2

Zoom

By use of the zoom functions, it is possible to zoom in or out the data the user has selected. As in the figure shown below, the user should locate the mouse on the data to which he or she wishes to apply the zoom functions and drag it with its right button pushed down.

Zoom In

Zoom In 1

Zoom In 1

This is a function to expand and observe the selected data. The user can observe the data by expanding them as much as he or she wishes by clicking the icon repeatedly.

Zoom In 2

Zoom In 2

Zoom Out

Zoom Out 1

Zoom Out 1

This is a function to compress and observe the selected data. The user can observe the data by compressing them as much as he or she wishes by clicking the icon repeatedly.

Zoom Out 2

Zoom Out 2

Auto Scale

Auto Scale 1

Auto Scale 1

This icon is used to restore the data to the original condition after zooming in or out. By a single click on this icon, the scale of the data goes back to the initial state.

Auto Scale 2

Auto Scale 2

3D Display Control Tool Bar

In the control tool bar are gathered the functions that are used to facilitate observation of the data. It consists of the dynamic function for dynamic observation of the 3D graph and the graph setting function with which the mode of observation of the graph can be changed in various ways.

3D Display Control Tool Bar

3D Display Control Tool Bar

Dynamic Function

Dynamic Function

Dynamic Function

This is a function used to observe the trend of the data or the result of analysis dynamically changing with time. In case an analysis method has been adopted, the dynamic function in the control tool bar is activated. The details of this function are explained in Chapter 6. Data Analysis.

Graph Setting Function

The graph setting functions differ between a general 3-D graph and a brain mapping one.

Graph Setting Function 1

Graph Setting Function 1

3D Graph Type

3-D graph is difficult to make visual judgment than a 2-D graph on most occasions. At this time, changing and observing the form of the graph in various ways makes analysis easier.

Graph Setting Function 2

Graph Setting Function 2

Graph Setting Function 3

Graph Setting Function 3

With this function used for a brain mapping analysis graph, it is possible to determine in which form the human head should be presented. Depending on the purpose of display, you can selectively observe it in the form of a brain or that of a skeleton. This function has been provided to meet the desire of the user to get a better picture when he or she presents the result of analysis, regardless of data analysis. As there are four forms of the head as follows, the user may choose his or her favorite and create various displays.

Graph Setting Function 4

Graph Setting Function 4

Pop-up Menu

A pop-up menu means the one that pops up when the right button of the mouse is clicked on the display window. If you store the functions that are frequently used in the pop-up menu, you can use them quickly without clicking too many times. Among the functions as follows, the pop-up menu is categorized into the data registration function, the event marking function, and the send-to-report function.

Pop-up Menu

Pop-up Menu

Data Registration

When it is desired to analyze or store a particular portion of the data collected, it is possible to register the data. The data that have been registered are arranged and shown in a tree form, and each set of the registered data is shown on a display window.

Register the Selected Regions

This is used when you register the selected region of the data by dragging them with the mouse. At first, you are to select the data with the mouse. After that, when you click the right button of the mouse on the selected region and afterwards click this item in the pop-up menu, the region is registered in the analysis window. At this time, the data position selection dialog box and the channel selection dialog box appear to help you register the data at the exact position.

Register the Selected Regions

Register the Selected Regions

Register One Horizontal Position

This is used when you wish to register the data of a specific point of time. When you click the right button of the mouse at the position you wish to select and afterwards click this item in the pop-menu, a set of data of the same point of time is registered. At this time, the data position selection dialog box appears to help you register the data at the exact position.

Register One Horizontal Position

Register One Horizontal Position

Data Selection

In case the user wishes to verify the region visually before registering the specific region of the data, this function can be utilized. By use of the function, the selected data are visually shown to the user with inverted color instead of directly getting registered to the analysis window. In case it is desired to register the selected data to the analysis window, the register-the-selected-regions function in the pop-up menu can be used.

Select All Horizontal Range of the Selected Channels

After a region has been selected by use of the mouse, this function is used when the user desires to expand it to the whole channel containing the previously selected region.

Select All Horizontal Range of the Selected Channels

Select All Horizontal Range of the Selected Channels

Select All Channels of the Selected Horizontal Range

After a region has been selected by use of the mouse, the function is used when the user desires to select all the channels of the previously selected region.

Select All Channels of the Selected Horizontal Range

Select All Channels of the Selected Horizontal Range

Select All Regions

This is used to select all regions of all channels at the same time. It is a very convenient function that allows selection of the data regions simultaneously.

Select All Regions

Select All Regions

Select the Specific Range and Channels

This is a function to select a specific range of the whole data with exact values. As it is difficult to select the exact position of the correct value and channel precisely by use of the mouse, the function is very convenient.

Select the Specific Range and Channels

Select the Specific Range and Channels

Activated and Deactivated Items in the Pop-up Menu

Activated and Deactivated Items in the Pop-up Menu

Activated and Deactivated Items in the Pop-up Menu

Event Setting

When data are collected, the user can observe real-time measurement of data. At this time, the function to insert characters as if writing down a memo is called event setting. For example, when the condition of a subject changes in such cases that the subject tosses about or falls asleep, it is possible to mark an event at that moment. Once the events are marked in this way, various information can be obtained for convenience of analysis when data collection is over and the data are analyzed.

Event Marking

1. At the position you wish to mark an event, select Event Marking in the pop-up menu by clicking the right button of the mouse. Or else, you can use the function by locating the mouse on the part you desire and pushing the shift button on the keyboard and the right button of the mouse at the same time.

Event Marking 1

Event Marking 1

2. When Event Marking is selected, the event marking dialog box as follows pops up.

Event Marking 2

Event Marking 2

3. When the user selects an event name in the list of the event marking dialog box and then clicks Apply button, the event is indicated at the designated position and an event marker appears that informs the time of the event.

Event Marking 3

Event Marking 3

If the event setting icon in the basic tool bar is clicked, a dialog box appears in which you can change the font face, size and style of the event name, and the color, figure, position and style of the event marker.

Adding a New Event Name in the List

1. This is used when you wish to insert a new event name in addition to the existing ones.

2. In the same method as marking an event, select Event Marking in the pop-up menu by clicking the right button of the mouse. Click Add button in the event dialog box. Then, the dialog box appears in which an event name of user’s choice can be added. After you add a new event name and then push Apply button, you can verify that it has been newly added in the list. Once a name has been added, it can be continuously used afterwards.

Adding a New Event Name in the List

Adding a New Event Name in the List

Modifying an Existing Event Name to a New One

Modifying an Existing Event Name to a New One

Modifying an Existing Event Name to a New One

Removing an Event Name from the Event List

1. This is used to remove an event name that has been registered from the event list.

2. In the same method as marking an event, select Event Marking in the pop-up menu by clicking the right button of the mouse.

3. After selecting the event name the user wishes to remove from the event list by clicking the event name and then clicking Remove button, the selected event name is deleted from the list.

Removing an Event Name from the Event List

Removing an Event Name from the Event List

Send to Report

Send to Report

Send to Report

In Multi-Time Mode it is also possible to send the data shown on the display window to a report window. In case you wish to send the data to a report window during the course of data acquisition, click the right button of the mouse and click the menu of send to report. As the method of Send to Report in this mode is also identical to that in Standard Mode, we skip the details here. Please refer to send to report in the pop-up menu of this chapter!

Send to Report

By clicking the right button of the mouse on the graph you wish to add to the analysis report and selecting this item in the pop-up menu, the graph is registered as an image in the report.

Send to Report

Send to Report

Report Building

A report is literally a function to convert the result of analysis to the form of a document. By properly facilitating the methods to put a comment and insert explanation on the graph that is added to the report, an excellent report can be built in the course of collecting and analyzing the data at the same time. Report building can be performed conveniently in diversified forms by use of the report tool bar that is explained hereafter.

1. Report Tool Bar

As mentioend above, when the report is clicked, the report window appears and the report bar shows up.

Report Building

Report Building

1.1 Standard Tools

About the four standard functions of ‘Save’, ‘Save As’, ‘Copy’ and ‘Print’, we skip the detail explanation. Please refer to the explanation provided previously!!

1.2 Report Tools

These are tools that are used to edit the report windows. They help the user ornament the report window as he or she wishes.

Data Information Setting

Data Information Setting 1

Data Information Setting 1

This function plays the role of setting the information that is displayed at the top of a report window, where the information on the subject whose data have been collected and on the situation during data collection is entered primarily. In addition, whatever the user may feel necessary can be added here. When this button is pushed, the data information setting dialog box as shown below appears to help the user make necessary entry. By pushing Add button, an item can be added, and by Delete button, one can be removed.  When you wish to apply the change you have made, Apply button should be clicked.  Otherwise, Cancel should be clicked. The result of application is shown on the report window as follows.

Data Information Setting 2

Data Information Setting 2

Results Setting

Results Setting

Results Setting

This is the button used to change the setting of the graph added to the report window. When this button is pushed, the dialog box as shown below appears to help the user make necessary entry. You can change the name of the graph or remove a result graph that has been added previously. If you wish to change the result graph, select the target item and double-click on the mouse. When you wish to apply the change you have made, Apply button should be clicked. Otherwise, Cancel should be clicked. The result of application is shown on the report window as follows.

Results Setting 2

Results Setting 2

Comment Setting

Comment Setting 1

Comment Setting 1

This is used to put a comment on the graph that has been added to a report. When this button is pushed, the dialog box as shown below appears to help the user make necessary entry. Enter a comment by clicking the entry field in the dialog box. You can write down explanation on the result graph included in the report or the peculiarities that occurred during data measurement. If you wish to apply the comment after you have finished it, Apply button should be clicked. Otherwise, Cancel should be clicked. The result of application is shown on the report window as follows.

Comment Setting 2

Comment Setting 2

Multi-Time Mode

There are two modes in observing the data with the change of time. One used generally is History Mode, the trend of which flows from the left hand side of the display window to the right. On the other hand, in Multi-Time Mode, the trend flows from the bottom of the display window to the top. Multi-Time Mode gets activated when using the moving window analysis method, a function to observe the data dynamically. The moving window analysis is explained in Chapter 6. Data Analysis in detail. Please refer to it! In case of multi-channel data, they are displayed as in the drawing shown below, sequentially beginning with Channel 1.

Multi-Time Mode

Multi-Time Mode

Compared with the other methods generally used for data observation, the time-series data in Multi-Time Mode can be observed very conveniently for the mode allows the user to observe the data with the change of time over a specific time period at a glance. Besides, a pop up menu appears if you click the right button of the mouse in Multi-Time Mode, and by use of this menu it is possible to have the data at a specific time fixed and displayed on the screen continuously, and to change the number of graphs coming into the screen. We will discuss it further on the next page.

Add to Fixed State

Add to Fixed State 1

Add to Fixed State 1

As time flows, the data move from the bottom to the top. This is used when you wish to fix the data at a specific time and compare them with other data. Click the right button of the mouse on the data you wish to fix and click the menu of Add to Fixed State. Then the data will be fixed at the uppermost step. Once fixed, the data remain at the position even if the step goes beyond the screen as time elapses. The number of data that can be fixed is as many as that of steps displayable on the screen.

Add to Fixed State 2

Add to Fixed State 2

Fixed State Release

Fixed State Release 1

Fixed State Release 1

This menu is used when you release the step of the data that has been fixed by means of Add to Fixed State. When this menu is clicked, the fixed steps are released and disappear from the display window, and the window is re-initialized.

Fixed State Release 2

Fixed State Release 2

Total Step Number

Total Step Number 1

Total Step Number 1

When you click the menu of Total Step Number in the pop-up menu of the display window in Multi-Time Mode, it is possible to change the number of data steps shown on the display window. The step means the data shown on the display window simultaneously at a specific time. If the number of steps increases, so does the amount of data shown on the screen. Click the menu, and the data step setting dialog box as shown below will appear. Regarding the number of steps, you can configure and use the minimum of 2 up to the maximum of 40.

Total Step Number 2

Total Step Number 2

Event Marking & Control

Event Marking & Control

Event Marking & Control

In Multi-Time Mode, it is also possible to put an event marking at a specific position.  The method of Event Marking & Control in this mode is identical to that in Standard Mode. With regard to Event Marking & Control, we skip it here, as the details are explained in the pop-up menu of this chapter.

Sending to Report

Although there can be many different purposes for data analysis, common is the intention to analyze the results and obtain concrete products. If a research work is closed simply after observing the data, it would be same as insisting upon a theory without providing any clue. However, it is a seriously time-taking task to collect all the data properly and to arrange them piece-by-piece. In this program, the report function has been added in order to minimize the chore of these critical but time-taking jobs. By use of the function, the collected data and the analyzed data can be easily arranged, and it is possible to add a comment to each result, so that the necessity to arrange the result of the analysis may be removed. Besides, the arranged report can be saved in HTM file type, which can be applied in many other places.

Standard Mode

Standard Mode 1

Standard Mode 1

In Multi-Time Mode, the data are shown from the bottom to the top as time elapses, and each step is displayed at a specific time period. If you wish to observe the data in Standard Mode that displays one step only in the display window, click the right button of the mouse and click the menu of Standard Mode.

Standard Mode 2

Standard Mode 2

History Mode

The moving window analysis method is available for data analysis. In this method, the data as much as the size of the window is analyzed, and with the lapse of time, the window moves and continues to analyze. The method is convenient for it allows the user to observe the result of analysis with the flow of time automatically. The moving window is explained in Moving Window of Chapter 6. Data Analysis in detail. Please refer to it!.In case you analyze the data on a moving window, in Standard Mode the result of analysis is shown in a window on the screen as shown below, and the part of dynamic function on the bottom of the screen is activated and allows the user to observe the results of the past windows dynamically. However, if you wish to check out the results of all windows on the same screen, use History Mode. In case you wish to switch from Standard Mode to History Mode, select History Mode in the pop-up menu that appears in response to the right button of the mouse from a display window. To switch back from History mode to Standard Mode, select Standard Mode in the pop-up menu in the same manner. The other functions that can be used in the pop-up menu of History Mode are Event Setting & Control and Send to Report. These are identical to the corresponding functions explained for Multi-Time Mode in the previous page, and please refer to it.

History Mode

History Mode

Data Analysis

it describes data analysis methods with use of TeleScan  various analysis methods, usage and interpretation of results will be explained.

Purpose of Analysis

Prior to analysis, purpose of analysis should be clarified. Users should clearly know and understand what information will be obtained from data collected and what results are expected from such information. Also, another important point is what analysis method meets the purpose of analysis. Since TeleScan providing various analysis methods has a wide range of applications, selection of the analysis method consistent with the purpose of analysis will result in more effective and efficient data analysis. Therefore, for correct data analysis, users should clearly understand what information will be obtained from data and then, select the most desirable method appropriate for the purpose.

Various analysis methods will be introduced. The purposes and results of individual analysis method will be provided to help users easily conduct data analysis. Analysis methods are shown as icons in Analysis Tool Bar, so users can easily access to them. Also, analysis results are provided as 2-D or 3-D graphs as required to facilitate data analysis.

Analysis results are registered at Analysis Window in the form of tree according to the flow applied to the analysis method. Analysis method, results, and all conditions registered at Analysis Window can be saved as a “cdf” file. Therefore, users can know which method has been used for data analysis. Further, users can conduct data analysis while applying various methods at one time and compare results.

Analysis Tool Bar

Analysis Bar

Analysis Bar

In Analysis Tool Bar, various analysis methods are clearly arranged. If you select an analysis method you want, detailed procedures are shown like slides. Detailed procedures are presented in the form of icons. Since such icons well reflect characteristics of individual analysis methods, they will be very helpful when you select a method you want. If you click the analysis method you want, analysis immediately starts and results are shown in Display Window as 2-D or 3-D graph, which is registered at Analysis Window.

This Analysis Tool Bar will be slightly different depending on the number of data channels you want to analyze. Since Analysis Tool Bar satisfying the number of channels is automatically set by program, you can use any analysis methods without difficulty.

Analysis Window

In Analysis Window, all data analysis results and settings are registered. Raw Data not gone through any treatment are always positioned at the top of Analysis Window. When data are subject to analysis, a tree structure is formed below Raw Data.

Analysis Window TeleScan

Analysis Window TeleScan

 

Use of Analysis Window

Use of Analysis Window

Use of Analysis Window

Analysis Window is a place for hierarchical registration of results from data analysis, so it is a very useful because it shows all flow of data analysis. In this window, you can delete some results analyzed or send them to report for formatted report of results. Further, you can register at Analysis Tool Bar the analysis procedure as an analysis method. Registration of the frequently used analysis methods as “Custom Analysis” at Analysis Tool Bar will be very useful when you repetitively use them. You can easily use these functions with pop-up menu of Analysis Window. In order to use pop-up menu, select the analysis results registered at Analysis Window and then click the right button of your mouse.

Delete of Results
Select the analysis results you want to delete with your mouse and then, click Delete on the pop-up menu. Then, the results selected will be deleted from Analysis Window. Further, the relevant graph will be also removed from Display Window.

Sending Results to Report
Select the analysis results you want to send to report with your mouse and then, click Send to Report. Then, the relevant graph comes to be inserted to the report.

Registration as Custom Analysis Method

At first, register the frequently used analysis methods at Analysis Window. The following figures show the flow of Select for selection of channel and data you want at Raw Data, filtering process with use of Notch Filter by FFT method, and then Histogram analysis of results. Such multi-step procedure will require much time. If you register such procedure as an analysis method at Analysis Tool Bar, it is very useful for repetitive analysis. Add to Custom Analysis is used for registration of such multi-step procedure. Arrange all analysis procedures at Analysis Window and click any empty space of Analysis Window. Then, select Add to Custom Analysis on pop-up menu. When all registration procedures are completed, you can see an icon of Analysis 1 in Custom Analysis of Analysis Tool Bar. Click this icon for other data analysis and then, the same procedure is applied.

Registration as Custom Analysis

Registration as Custom Analysis

Analysis Methods

 

Select Simple Operation
Simple Parameter Calculation Resampling
Frequency Filtering Correlation Analysis
Power Spectrum Analysis Statistical Analysis
Brain mapping Custom Analysis
  • Value Mapping with Modified Combinatorial Nomenclature
  • Value Mapping with Spherical Polar Coordinate
  • 2-D Positioning with Modified Combinatorial Nomenclature
  • 2-D Positioning with Spherical Polar Coordinate
  • Cross-Line Mapping with Modified Combinatorial Nomenclature
  • Cross-Line Mapping with Spherical Polar Coordinate

 

Select

These are used for selecting specific area of a graph shown in Display Window and registering it at Analysis Window.

Region

Selection of region 1

Selection of region 1

This is a method for selection of data region. Select data region you want to apply this method in Analysis Window and click Region in Analysis Tool Bar. This will display the dialogue boxes for selection of data region and for selection of channel to help you select data region and channel.

Selection of region 2

Selection of region 2

Position

Selection of Position 1

Selection of Position 1

This is a method for selection of data at specified time and then registration of them at Analysis Window. This method enables you to select and see data at specified time point by channels from graphs shown in Display Window. It is very useful for other analysis of these results selected.

Selection of Position 2

Selection of Position 2

Moving Window

Selection Using Moving Window 1

Selection Using Moving Window 1

This Moving Window method is used for automatic observation of all data. If other analysis methods are additionally used, the analysis results can be automatically observed over time.

Window in this method means a specified portion of data as shown in the following figure. Window size means the length of specified portion of data. Window moves from the left end of data to the right end.

Overlap Ratio means the degree of Window overlapping. As Window moves, only data corresponding to Window size are shown in screen. If you set this Overlap Ratio, the specified portion of the previous Window equivalent to Overlap Ratio is also included in the next Window. Overlap value is expressed as percentage (%) of overlapped Window to Window size. In other words, if Overlap Ratio is set as 50%, the overlapped portion makes up 50% of Window size.

Selection Using Moving Window 2

Selection Using Moving Window 2

To use this Moving Window method, select data you want to apply this method in Analysis Window and then click Moving Window in Analysis Tool Bar. This will display a dialogue box for Window setting. In this dialogue box, set Window size and Overlap Ratio, and then, click Apply button. This will display the first Window in Display Window and activate the dynamic function of Control Tool Bar.

Selection Using Moving Window 3

Selection Using Moving Window 3

Selection Using Moving Window 4

Selection Using Moving Window 4

As shown in this figure, this Moving Window method results in activation of dynamic function of Control Tool Bar. Click the start button and Windows are automatically displayed one by one in Display Window. Click the stop button to stop the moving function.

Moving Position

Selection Using Moving Position 1

Selection Using Moving Position 1

This function is used to select values at specified positions when all data move by specified interval. Values at specified positions are shown as a graph by channels. Especially, this method is highly useful for Brain Mapping changing over time. Select data you want to apply this analysis method in Analysis Window and click the icon of Moving Position in Analysis Tool Bar. This will display a dialogue box for position setting. In this dialogue box, input the points you want and click Apply button. Then, data at specified points are selected from the start at the specified interval. Results are shown as a graph in Display Window and the dynamic function of Control Tool Bar is activated. The dynamic function of Control Tool Bar can be used to check values selected in regular order. With regard to use of this function, please refer to Moving Window section described in the previous page.

Selection Using Moving Position 2

Selection Using Moving Position 2

Simple Operation

Simple Operation

Simple Operation

These are used for simple operations of data. These are basic calculation functions frequently used, which can be used for data conversion before or after application of a specific analysis method.

Matrix Multiplication

Matrix Multiplication is an analysis method for modification of data. You can adjust data values by multiplying data by constant or make one by summing two data. In other words, this is useful when processing data as you need. Modification of data uses the following matrix.

Multiplication of A and B by  will result in new values, C and D, which are calculated as follow;

C = a11 • A+a12 • B2 D = a21 • A + a22 • B

If the matrix is , C = A and D = 0. So, all B values are 0.

A and B means original data values, while C and D means data values newly calculated. In other words, you can get new data values, C and D, from original data, A and B, using a specified matrix. The above example is correspondent to the case when the number of data channels is 2. In the case of 3 channels, 4 x 4 matrix can be used.

 

 

Application of Matrix Multiplication

Select data you want to apply this method in Analysis Window and click Matrix Multiplication in Analysis Window. This will display a dialogue box for matrix setting as shown in the below, so you can input matrix values as you want. The dialogue box for matrix setting varies depending on the number of data channels. In the case of 2-channel data, 2 x 2 matrix will be displayed. In the case of 4-channel data, the dialogue box for 4 x 4 matrix will be displayed as shown in the below. Using this dialogue box, you can make new data you want. Further, matrix values frequently used can be saved as a file. Select the frequently used matrix and click File Save in the dialogue box for matrix setting. This will result in a saved file (.mtx). You can retrieve and use this saved matrix at any time.

Application of Matrix Multiplication

Application of Matrix Multiplication

Cutting of the Selected Range

Cutting of the Selected Range 1

Cutting of the Selected Range 1

This is a method for cutting of the specified portion of data at all channels. Select data you want to apply this method in Analysis Window and click the icon of Cutting of the Selected Range in Analysis Tool Bar. This will display a dialogue box for selection of data range to help you select data range you want to cut. When you set data range you want to cut in this dialogue box, you can get data result without data range selected.

Cutting of the Selected Range 2

Cutting of the Selected Range 2

Setting the Selected Regions to a Constant

Setting the Selected Regions to a Constant 1

This is a method for transforming the selected data region to a constant. Select data you want to apply this method in Analysis Window and click the icon of Setting the Selected Regions to a Constant in Analysis Tool Bar. This will display a dialogue box for selection of data and a dialogue box for selection of channel. You can input the constant value as you need in Constant Value of the dialogue box for selection of data. Further, you can set data region to which the constant value is applied. After completion of this setting, the dialogue box for selection of channel will be displayed to help you select channels to which the settings are applied.

Setting the Selected Regions to a Constant 2

Setting the Selected Regions to a Constant 2

Inverse

Inverse 1

Inverse 1

This is a function for conversion of negative data values to positive ones or conversion of positive data values to negative ones. In other words, this function causes the phase value to be inverted. Select data you want to apply this method in Analysis Window and click the icon of Inverse in Analysis Tool Bar. This will display the result showing the inverted phases of data in Display Window as shown in the following figures, which are registered at Analysis Window.

Inverse 2

Inverse 2

Inverse 3

Inverse 3

Absolute

Absolute 1

Absolute 1

This is a function to obtain the absolute values of all data. In other words, this function transforms all data values into positive ones. Select data you want to apply this method in Analysis Window and click the icon of Absolute in Analysis Tool Bar. This will display a graph showing all data values transformed into positive ones in Display Window as shown in the following figures, which are registered at Analysis Window.

Absolute 2

Absolute 2

Cumulation

Cumulation 1

Cumulation 1

This is a function for cumulative summing of all data values from the start to the end. Select data you want to apply this method in Analysis Window and click the icon of Cumulation in Analysis Tool Bar. This will display a graph showing that all data values are cumulatively summed in Display Window as shown in the following figures, which are registered at Analysis Window.

Cumulation 2

Cumulation 2

Derivative

Derivative 1

Derivative 1

This is a function used to see changing pattern of data. Differential equatio is used to obtain the slopes at specified points to analyze changing pattern of data. Higher derivative value at specified point indicates higher changes of data, while lower derivative means lower changes. Select data you want to apply this method in Analysis Window and click the icon of Derivative in Analysis Tool Bar. This will display a derivative graph in Display Window as shown in the following figures, which are registered at Analysis Window.

Derivative 2

Derivative 2

Natural Logarithm

Natural Logarithm 1

Natural Logarithm 1

This is a function to change all data into log scale.
Select data you want to apply this method in Analysis Window and click the icon of Natural Logarithm in Analysis Tool Bar. This will display a graph of data changed into log scale in Display Window as shown in the following figures, which are registered at Analysis Window.

Natural Logarithm 2

Natural Logarithm 2

Rescale

Rescale means a process of making range of signal values to have the same conditions. This is mainly used when you want to analyze only changing patterns of values, regardless of range of signal values. Such process of adjusting range of signals to specific conditions is called Normalization. Extreme values, mean, standard deviation, gain, and offset can be normalized. This preliminary processing will contribute to higher reliability of analysis results. Depending on rescaling conditions, there are Rescaling by Extremes, Rescaling by Gain and Offset, and Rescaling by Mean and Standard Deviation.

 

Rescaling by Extremes

Rescaling by Extremes 1

Rescaling by Extremes 1

This method is used when applying the same amplitude range condition to all data. Amplitude means the height of signal waveform. In general, maximum and minimum values of amplitudes vary depending on measuring conditions. Rescaling by Extreme is the very process of changing different ranges of amplitude to the specified range. Select data you want to apply this method in Analysis Window and click the icon of Rescaling by Extreme in Analysis Tool Bar. This will display a dialogue box for amplitude setting to set the range of amplitude as shown in the following figure. Input maximum and minimum values of amplitude as you need and click Apply button. Example shown in the following figures shows the amplitude with scale of 1 to -1. As you can see, different ranges of amplitudes by channels are adjusted to be within 1 to -1. The graph is shown in Display Window and registered at Analysis Window.

Rescaling by Extremes 2

Rescaling by Extremes 2

Rescaling by Gain and Offset

Rescaling by Gain and Offset 1

Rescaling by Gain and Offset 1

This method is used when rescaling Gain and Offset. Gain is a variable used in changing the amplitude, while Offset is a variable used in vertical positioning of waveform. These variables are explained in the following figures for your understanding.

Rescaling by Gain and Offset 2

Rescaling by Gain and Offset 2

As you can see in the above figures showing changes of amplitude, the solid line indicates data with higher amplitude, while the dotted line indicates data with lower amplitude. Change of amplitude will not change the frequency of signal, but the height of waveform. Change of Offset is not change of signal components, but that of signal positions. This can be used when changing data within -1 to 1 into data within 0 to 2. Select data you want to apply this method in Analysis Window and click the icon of Rescaling by Gain and Offset in Analysis Tool Bar. This will display a dialogue box for setting of Gain and Offset as shown in the following figure. Input Gain and Offset values as you need and click Apply button. The graph is shown in Display Window and registered at Analysis Window.

Rescaling by Gain and Offset 3

Rescaling by Gain and Offset 3

Rescaling by Mean and Standard Deviation

Rescaling by Mean and Standard Deviation 1

Rescaling by Mean and Standard Deviation 1

Rescaling by Mean and Standard Deviation is used for rescaling through setting of arbitrary mean and standard deviation values, random variables of signals. Prior to description of this method, mean and standard deviation will be explained.

Mean and standard deviation are basic values determining the probable characteristics of signals. Mean value, also called as expected value, can be expressed as follow;

Mean, calculated by dividing sum of all signal values by total number of signal data, indicates the middle value in the probability distribution graph. The probability distribution is the one expressed as sum of 1 showing how probability is distributed depending on random variables, when signals values are deemed as probability variables.

Prior to description of standard deviation, it is necessary to explain Variance.

Variance is the value defining the degree of being distant from mean in the probability distribution graph. Standard deviation, the value calculated through root of variance, is defined as follow;

Standard deviation is the value relating to form of the probability distribution graph. While referring to the following graph, meanings of individual values will be discussed again.

Rescaling by Mean and Standard Deviation 2

Rescaling by Mean and Standard Deviation 2

The middle value in the probability distribution graph is Mean, while the distribution degree of the probability distribution graph is Standard Deviation. In other words, lower standard deviation means narrower width of the probability distribution graph, indicating that data are centered on mean value. In short, lower value of standard deviation means that most data values are similar to the mean and the difference among values is not distinct. Probability distribution graph depending on changes of mean and standard deviation can be expressed as above.

Rescaling by Mean and Standard Deviation 3

Rescaling by Mean and Standard Deviation 3

Select data you want to apply this method in Analysis Window and click the icon of Rescaling by Mean and Standard Deviation in Analysis Tool Bar. This will display a dialogue box for setting of mean and standard deviation as shown in the following figure. Input values as you need and click Apply button. The graph is shown in Display Window and registered at Analysis Window.

Rescaling by Mean and Standard Deviation 4

Rescaling by Mean and Standard Deviation 4

Simple Parameter Calculation

These are used for calculation of simple mathematical values. Each function will result in one numerical result.

Slope

Slope 1

Slope 1

This function is used to obtain slope values of all data by channels. Slope analysis functions in a manner of dividing data by specified range, roughly making a linear line relative to data within the range, and calculating the slope. Select data you want to apply this method in Analysis Window and click the icon of Slope in Analysis Tool Bar. This will display a graph showing analysis results as follow. Results of slopes calculated by channels are shown as a bar graph in Display Window and registered at Analysis Window.

Slope 2

Slope 2

Sum

Sum 1

Sum 1

This function is used to obtain sum of all data by channels. Select data you want to apply this method in Analysis Window and click the icon of Sum in Analysis Tool Bar. This will display the following graph. Results from summing all data by channels are shown as a bar graph in Display Window and registered at Analysis Window.

Sum 2

Sum 2

Sum Ratio

Sum Ratio 1

Sum Ratio 1

This function is used to quantitatively analyze sum of data in proportion to specified value. For example, it is possible to obtain the ratio of sum of data for specified time in proportion to sum of all data. Select data you want to apply this method in Analysis Window and click the icon of Sum Ratio in Analysis Tool Bar. This will display a dialogue box for data setting as shown in the following figure. In this dialogue box, you can input values of Numerator and Denominator for specified range, resulting in the ratio of the sum of denominators for the specified range to the sum of numerators. Results of sum ratio by channels are shown as a bar graph in Display Window and registered at Analysis Window.

Sum Ratio 2

Sum Ratio 2

Average

Average 1

Average 1

his function is used to obtain average value of all data by channels. Select data you want to apply this method in Analysis Window and click the icon of Average in Analysis Tool Bar. This will result in a graph as follow.

Average 2

Average 2

Standard Deviation

Standard Deviation 1

Standard Deviation 1

This function is used to obtain standard deviation of all data by channels. Standard deviation is a value defining probability distribution of data. Lower standard deviation means most data values are near mean, while higher standard deviation indicates large variation of data. For more information on standard deviation, please refer to Rescaling by Mean and Standard Deviation.

Select data you want to apply this method in Analysis Window and click the icon of Standard Deviation in Analysis Tool Bar. This will display the following graph. Results by channels are shown as a bar graph in Display Window and registered at Analysis Window.

Standard Deviation 2

Standard Deviation 2

Resampling

Sampling is a technique used in changing analog signals into digital ones. To change continuous analog signals into discrete digital signals, data should be extracted from analog signals by specified interval. Such extraction of data is called as sampling and the interval for extraction is called as sampling frequency. The amount of data will vary depending on sampling frequency. Longer sampling frequency leads to smaller number of data obtained from analog signals, resulting in smaller amount of data when changed into digital signals. On the contrary, shorter sampling frequency results in larger amount of data.

Resampling is a process of re-structuring data obtained from a specified sampling frequency into data of another sampling frequency. Users can adjust the amount of data using this process. For resampling, the approximate function of signals should be defined using the mathematical algorithm of Interpolation. In other words, Interpolation is a process of approximating a signal at the specified point using neighboring signals. Such interpolation can be classified into various methods depending on which function is used. Three representative methods are Polynomial Interpolation, Rational Function Interpolation, and Cubic Spline Interpolation.

By Polynomial Interpolation

By Polynomial Interpolation 1

By Polynomial Interpolation 1

This method is used for resampling with use of Polynomial Interpolation.

Polynomial Interpolation is a method to estimate data value (y) at a point (x) using four neighboring data,

(x1, y1), (x2, y2), (x3, y3), (x4, y4)  as follow;

Select data you want to apply this method in Analysis Window and click the icon of By Polynomial Interpolation. This will display a dialogue box for sampling setting as shown in the below. Input sampling values as you want and click Apply button. Then, you can get data resampled from sampling values you set. Since interval available to resampling is presented in this dialogue box, you can conduct resampling within this interval.

By Polynomial Interpolation 2

By Polynomial Interpolation 2

By Rational Function Interpolation

By Rational Function Interpolation 1

By Rational Function Interpolation 1

This method is used for resampling with use of Rational Function Interpolation. This is a method to estimate data in the form of more complex Rational Function as follow;

Select data you want to apply this method in Analysis Window and click the icon of By Rational Function Interpolation. This will display a dialogue box for sampling setting as shown in the below. Input sampling values as you want and click Apply button. Then, you can get data resampled from sampling values you set. Since interval available to resampling is presented in this dialogue box, you can conduct resampling within this interval.

By Rational Function Interpolation 2

By Rational Function Interpolation 2

By Cubic Spline Interpolation

By Cubic Spline Interpolation 1

By Cubic Spline Interpolation 1

This method is used for resampling with use of Cubic Spline Interpolation. This is a method to estimate data using more complex function than usual polynomial function and rational function. Since Cubic Spline Function estimates data while considering the possibility of differentiation, it can result in more reliable estimated value than other interpolation methods. Further, it is the most appropriate method to make use of characteristics of time series signals generated in the nature. Such Cubic Spline Interpolation uses the following formula.

Select data you want to apply this method in Analysis Window and click the icon of By Cubic Spline Interpolation. This will display a dialogue box for sampling setting as shown in the below. Input sampling values as you want and click Apply button. Then, you can get data resampled from sampling values you set. Since interval available to resampling is presented in this dialogue box, you can conduct resampling within this interval.

By Cubic Spline Interpolation 2

By Cubic Spline Interpolation 2

Frequency Filtering

In general, signals consist of various kinds of frequency components. Frequency, expressed as Hz, means how many repetition of waveform, periodically generated, occurs in one second. If the periodic waveforms occur 10 times a second, the frequency is 10 Hz. If more waveform occurs in one second, it is called as high frequency signal. If less waveform occurs, it is called as low frequency signal.

Frequency Filtering

Frequency Filtering

Filtering in the signal processing means Frequency Filtering that filters specified frequency range as the analyst wants. So, if you use this method, you can get signals of specified frequency range as you want. This Frequency Filtering includes two methods; FFT (Fast Fourier Transform) and IIR (Infinite Impulse Response). Also, depending on the area subject to frequency filtering, there are Low Pass Filter, High Pass Filter, Band Pass Filter, and Notch Filtering.

FFT (Fast Fourier Transform)

When you collect data, you can get data in analog-type waveform with continuous time and amplitude. At first, you have to change such continuous analog signals to discrete digital signals to enable computer to process them. Signals changed into digital type are time series data changing over time. However, when finding information required and analyzing it, it is not sufficient to conduct analysis only at time domain. Transformation of time series signals into frequency domain will enable you to identify frequency components of signals. So, you can conduct various analysis. Then, how such data of time domain can be transformed into those of frequency domain? Fourier Transform is the mathematical processing method for such transformation. Fourier Transform formula can be defined as follow;

Collected data, h(t), are those of time domain, which can be transformed into data of frequency domain, H(f), through the above formula. However, since discrete digital signals are at present used, Discrete Fourier Transform (DFT) is used. DFT formula can be defined as follow;

This is a process of transforming discrete signals of time domain, hk, into discrete signals of frequency domain, H(fn). This DFT requires very long time to complete calculation owing to its mathematical characteristics. FFT (Fast Fourier Transform) was designed by Danielson and Lanczoc in 1942. In general, DFT requires calculation time equivalent to the square of the number of data (N2), but FFT reduces such time to N log 2N.   In other words, the calculation time, formerly increased by geometric progression in proportion to the number of data, can be reduced by more than a half. FFT, a method for efficient calculation of DFT, has greatly contributed to development of digital signal processing technology.

If signals of time domain are transformed into those of frequency domain by FFT method, the signals are arranged in the graph depending on size of frequency, enabling identification of frequency components of signals.

 

Low Pass FFT-Filtering

Low Pass FFT-Filtering 1

Low Pass FFT-Filtering 1

This is a filter removing high-frequency domain and passing only low-frequency domain with use of FFT algorithm, enabling pass of frequency domain below what you want. It is very useful in selecting low-frequency domain of signals and analyzing it.

Select data you want to apply this method in Analysis Window and click the icon of Low Pass FFT-Filtering in Analysis Tool Bar. This will display a dialogue box for frequency setting as shown in the below. Input frequency values as you want and click Apply button. Then, you can get results from pass of domain below the specified frequency in Display Window, which are registered at Analysis Window. Results after low-frequency pass filtering appear to move slowly as shown in the figure, so it is called as Slow Wave.

Low Pass FFT-Filtering 2

Low Pass FFT-Filtering 2

High Pass FFT-Filtering

High Pass FFT-Filtering 1

High Pass FFT-Filtering 1

This is a filter removing low-frequency domain and passing only high-frequency domain with use of FFT algorithm, enabling pass of frequency domain above what you want. It is very useful in selecting high-frequency domain of signals and analyzing it.

Select data you want to apply this method in Analysis Window and click the icon of High Pass FFT-Filtering in Analysis Tool Bar. This will display a dialogue box for frequency setting as shown in the below. Input frequency values as you want and click Apply button. Then, you can get results from pass of domain above the specified frequency in Display Window, which are registered at Analysis Window. Results after high-frequency pass filtering appear to move fast as shown in the figure, so it is called as Fast Wave.

High Pass FFT-Filtering 2

High Pass FFT-Filtering 2

Band Pass FFT-Filtering

Band Pass FFT-Filtering 1

Band Pass FFT-Filtering 1

This is a filter passing specified band domain with use of FFT algorithm, enabling pass of frequency band domain what you want. It is very useful in selecting specific frequency band of signals and analyzing it.

Select data you want to apply this method in Analysis Window and click the icon of Band Pass FFT-Filtering in Analysis Tool Bar. This will display a dialogue box for frequency setting as shown in the below. Input frequency band domain as you want and click Apply button. Then, you can get results from pass of the specified frequency band in Display Window, which are registered at Analysis Window.

Band Pass FFT-Filtering 2

Band Pass FFT-Filtering 2

Notch FFT-Filtering

Notch FFT-Filtering 1

Notch FFT-Filtering 1

This is a filter removing specified frequency with use of FFT algorithm, enabling removal of specified frequency what you want. It is very useful in removing undesirable frequency component contained in signals.

Select data you want to apply this method in Analysis Window and click the icon of Notch FFT-Filtering in Analysis Tool Bar. This will display a dialogue box for frequency setting as shown in the below. Input frequency as you want and click Apply button. Then, you can get results from removal of the specified frequency in Display Window, which are registered at Analysis Window.

Notch FFT-Filtering 2

Notch FFT-Filtering 2

IIR (Infinite Impulse Response)

IIR System means a system that, in addition to the present and past inputs, outputs generated in the previous step affect the present output values. This will be further explained using the following formula.

Time series signals changing over time can be generated by signals precedent to near time. As you can see in the above formula (1), the signal to be generated, yn, is obtained by multiplying the precedent signal, xn-k , and the previously generated signal, yn-j, by constants, Ck and dj, and then summing them. In other words, the previously generated signal affects the next signal to be generated. Such signals generated are called as the recursive ones. Also, the signal system having such mechanism is called as recursive or Infinite Impulse System. And if the constant, d j, is zero (0) and so, the previously generated signal does not affect the next one to be generated, such signal is called as non-recursive one and such system is Finite Impulse System. In short, since IIR system can produce signals using some signals previously collected and signals immediately precedent to the signal to be generated, this system can simultaneously perform filtering as well as data collection, unlike FFT method requiring some specified block of data. So, real-time filtering is enabled in this system.
IIR (Infinite Impulse Response) Filter

Correspondence of the above formula (1) to the frequency band results in formula (2). In this formula (2), the type of filter can vary depending on constants, Ck and dj. Using this formula (2), constant is determined according to the shape of individual filter. For example, constants, Ck and dj, of Low Pass Filter are determined by calculating the formula (2) with a shape passing low frequency. If constants, Ck and dj, determined by this method are applied to the formula (1), IIR filter passing only low frequency is resulted.

 

Low Pass IIR-Filtering

Low Pass IIR-Filtering 1

Low Pass IIR-Filtering 1

This is a filter removing high-frequency domain and passing only low-frequency domain with use of IIR algorithm, enabling pass of frequency domain below what you want. It is very useful in selecting low-frequency domain of signals and analyzing it.

Select data you want to apply this method in Analysis Window and click the icon of Low Pass IIR-Filtering in Analysis Tool Bar. This will display a dialogue box for frequency setting as shown in the below. Input frequency values as you want and click Apply button. Then, you can get results from pass of frequency domain below the specified frequency in Display Window, which are registered at Analysis Window. Results after low-frequency pass filtering appear to move slowly as shown in the figure, so it is called as Slow Wave.

Low Pass IIR-Filtering 2

Low Pass IIR-Filtering 2

High Pass IIR-Filtering

High Pass IIR-Filtering 1

High Pass IIR-Filtering 1

This is a filter removing low-frequency domain and passing only high-frequency domain with use of IIR algorithm, enabling pass of frequency domain above what you want. It is very useful in selecting high-frequency domain of signals and analyzing it.

Select data you want to apply this method in Analysis Window and click the icon of High Pass IIR-Filtering in Analysis Tool Bar. This will display a dialogue box for frequency setting as shown in the below. Input frequency values as you want and click Apply button. Then, you can get results from pass of frequency domain above the specified frequency in Display Window, which are registered at Analysis Window. Results after high-frequency pass filtering appear to move fast as shown in the figure, so it is called as Fast Wave.

High Pass IIR-Filtering 2

High Pass IIR-Filtering 2

Band Pass IIR-Filtering

Band Pass IIR-Filtering 1

Band Pass IIR-Filtering 1

This is a filter passing specified band domain with use of FFT algorithm, enabling pass of frequency band domain what you want. It is very useful in selecting specific frequency band of signals and analyzing it.

Select data you want to apply this method in Analysis Window and click the icon of Band Pass IIR-Filtering in Analysis Tool Bar. This will display a dialogue box for frequency setting as shown in the below. Input frequency band domain as you want and click Apply button. Then, you can get results from pass of the specified frequency band in Display Window, which are registered at Analysis Window.

Band Pass IIR-Filtering 2

Band Pass IIR-Filtering 2

Notch IIR-Filtering

Notch IIR-Filtering 1

Notch IIR-Filtering 1

This is a filter removing specified frequency with use of IIR algorithm, enabling removal of specified frequency what you want. It is very useful in removing undesirable frequency component contained in signals.

Select data you want to apply this method in Analysis Window and click the icon of Notch IIR-Filtering in Analysis Tool Bar. This will display a dialogue box for frequency setting as shown in the below. Input frequency as you want and click Apply button. Then, you can get results from removal of the specified frequency in Display Window, which are registered at Analysis Window.

Notch IIR-Filtering 2

Notch IIR-Filtering 2

Correlation Analysis

These are used to obtain autocorrelation function from time series signals. In the case of time series signals, data at one point become different ones over time owing to various variables, meaning loss of correlation. Correlation Analysis is used to analyze this correlation.

Autocorrelation Function

The formula to analyze correlation between original time series data, xi(i=1, ···, N)and time series data delayed by specified time interval (d), yi(xi+d ; i=1, ···N) is as follow;

This formula, called as Pearson’s Correlation or Linear Correlation Coefficient, is the most widely used method to obtain Autocorrelation Function.  X bar, Y bar indicate mean values of xi(i=1, ···, N) and yi(xi+d ; i=1, ···N) respectively. Result from application of this formula while increasing the delayed time (d) from 0 to sampling time interval is Autocorrelation Function. Autocorrelation Function varying depending on signal is expressed as a value within -1 to 1. If the value is 1, it is said as “complete positive correlation.” Such case can be observed when xi and yi increase together. If Autocorrelation Function value (r) is -1, it is said as “complete negative correlation.” In this case, yi decreases while xi increases.The most important value in Autocorrelation Function is the delayed time when Autocorrelation Function value (r) firstly becomes 0 (zero). The point where Autocorrelation Function value (r) firstly becomes 0 (zero) is the time when correlation between xi and yi disappears, which is called as “Decorrelation time.”

Decorrelation time also means the time during which correlation continues. So, longer decorrelation time means longer time for forecasting of signal, while shorter decorrelation time means shorter time for forecasting. Further, shorter decorrelation time indicates shorter length of past data required for determination of the present data values. In short, former data close to decorrelation time have correlation with data at the present time point and data distant from decorrelation time do not have significant meaning for determination of data at the present time point.

Triple Correlation Function

Autocorrelation Function previously described is also called as Double Correlation Function. One more upgraded function is Triple Correlation Function. Autocorrelation Function and Triple Correlation Function can be defined as follow;

As you can see in formula (2), Autocorrelation Function relates to correlation between time series signal, x(t) , and time series signal delayed by τ , x(t+τ) Formula (3) clearly shows Triple Correlation Function. This relates to correlation between time series signal, x(t)  time series signal delayed by τ , x(t+τ) and time series signal delayed by τj , x(t+τj). In other words, this shows correlation between three time series signals delayed by different times. Unlike Autocorrelation Function, this function enables you to know correlation between delayed signals, x(t+τjand x(t+τj). in addition to correlation relative to original signal, so the result is expressed as 3-D graph.

 

Pearson’s Correlation

Pearson’s Correlation 1

Pearson’s Correlation 1

This is used in analyzing Autocorrelation of time series signals. Select data you want to apply this method in Analysis Window and click the icon of Pearson’s Correlation in Analysis Tool Bar. This will result in the following analysis results.

In Pearson’s Correlation graph, there is a point of 0 (zero). If it is not easy to identify the point, it is possible to select a portion and magnify it. The point marked is the first time where the value comes to be 0 (zero). This point is called as Decorrelation time, meaning that correlation between the originally collected time series signals and times series signals delayed by the specified time disappears. The value at this point is displayed in the top of graph. In the following figures, decorrelation time is 0.0045.

 

Pearson’s Correlation 2

Pearson’s Correlation 2

Triple Correlation

Triple Correlation 1

Triple Correlation 1

This is used in analyzing correlation between time series signals and two different signals delayed by different times. Since 3-D graph is presented as a result, correlation function between time series signals and two different signals delayed by different times can be simultaneously observed. Further, correlation between two signals delayed by different times can also be analyzed. In the following graph, Delay Time 1 and Delay Time 2 axes represent different delay time, while Triple Correlation axis represents size of correlation function. Higher correlation value in specific Delay Time 1 and Delay Time 2, (τ1, τ2). τand signal delayed by τ2.

Triple Correlation 2

Triple Correlation 2

Cross Correlation

Cross Correlation 1

Cross Correlation 1

This is used in analyzing correlation between two different time series signals. So, this method can be used only when two-channel data are selected. Select data you want to apply this method in Analysis Window and click the icon of Cross Pearson’s Correlation in Analysis Tool Bar. This will result in the following analysis results.

In Cross Pearson’s Correlation graph, there is a point of 0 (zero). The point where the value firstly comes to be 0 (zero) is called as Cross Decorrelation time, meaning the point where correlation between the first time series signal and times series signal delayed by the specified time disappears. The value at this point is displayed in the top of graph. Longer Cross Decorrelation time means that past data more distant from the second signal involve in determining the present value of the first signal. Further, the first value when Delay time is 0 is important because it shows correlation between two signals.

Cross Correlation 2

Cross Correlation 2

All-Pair-Cross Pearson Correlation

All-Pair-Cross Pearson Correlation 1

All-Pair-Cross Pearson Correlation 1

This method is used in analyzing correlation between data pairs of more than two channels. So, in the case of 4-channel data, the number of data pairs subject to correlation analysis is all 16. The result is provided as 3-D graph.Select data you want to apply this method in Analysis Window and click the icon of All-Pair-Cross Pearson’s Correlation in Analysis Tool Bar. This will display the following result. Two axes in this graph represent channels, while the height axis shows correlation value. The highest value in this graph is 1, which is resulted when correlation of the same channel is calculated. 3-D graph of All-Pair-Cross Pearson’s Correlation is very useful because it clearly shows the degree of correlation between data of channels.

All-Pair-Cross Pearson Correlation 2

All-Pair-Cross Pearson Correlation 2

Power Spectrum Analysis

This method is used in transforming time series signals into frequency domain and determining the signal pattern according to change of frequency. This method can be useful in identifying frequency components of data and determining the density and distribution of frequency components identified.

 

Power Spectrum

In general, data are time series data changing over time. Such data of time domain are useful in observing the change pattern of data over time, but analysis only at time domain is not sufficient when finding important information and analyzing it. Transformation of time series signals into frequency domain will enable you to identify frequency components of signals. So, you can conduct various analysis. At this time, the important problem is how such data of time domain can be transformed into frequency domain. This process is the very Fast Fourier Transform (FFT) described earlier. With regard to FFT, please refer to Frequency Filter.

Power Spectrum is a method widely used in various fields, such as bio signals, video signals, audio signals, and communication signals. This method has a wide variety of application fields and so, there are many terms describing this method, including Power Spectral Density (PSD), Periodogram, and Spectrum Normalization. Here, we use the term of Power Spectrum. Depending on expression methods,

Power Spectrum can be classified into one-side Power Spectrum and two-side Power Spectrum. One-side Power Spectrum shows frequency domains of 0 and positive domain, while two-side Power Spectrum shows all frequency domains of negative, 0, and positive domains. One-side Power Spectrum generally used for data analysis will be explained here. Power Spectrum is obtained using Fourier Transform. Discrete Fourier Transform (DFT) for discrete digital signals can be defined as follow;

By Inverse Fast Fourier Transform (IFFT), this formula can be expressed as follow;

From the above formula (2), the following formula (3) is derived by obtaining absolute values of both sides, squaring them, applying and summing all. As you can see in the below formula (3), the sum of square of original signals is identical to the square of signals gone through Fourier Transform. The sum of square of original signals or sum of Fourier Transform is called as Total Power. In other words, total power of signals is all the same at time and frequency spaces, which is called as Parseval theorem.

One-side Power Spectrum satisfying this theorem can be defined as follow;

 

Power Spectrum Estimation by FFT

Power Spectrum Estimation by FFT 1

Power Spectrum Estimation by FFT 1

Data before analysis in the following figure are time series data changing over time. Power Spectrum analysis is applied when transforming such time series signals into frequency domain signals. Select data you want to apply this method in Analysis Window and click the icon of Power Spectrum Estimation by FFT in Analysis Tool Bar. Then, time series data by channels are transformed into frequency domain data and they are shown as 2-D graph in Display Window, which is registered at Analysis Window.

Power Spectrum Estimation by FFT 2

Power Spectrum Estimation by FFT 2

The x-axis represents time before analysis, but, in the graph showing Power Spectrum analysis, the x-axis represents frequency and the y-axis represents power value for each frequency value. Accordingly, this Power Spectrum graph reveals how many frequency components are included in time series signals. Further, circular graphs shown in the right side reveal the percentage of each frequency band.

Time-Frequency Domain

Time-Frequency Domain 1

Time-Frequency Domain
1

This shows Power Spectrum results changing over time as a 3-D graph. This 3-D graph showing time, frequency, and power values is very useful to easily understand Power Spectrum results changing over time.

Time-Frequency Domain 2

Time-Frequency Domain 2

Absolute Band Power

Absolute Band Power 1

Absolute Band Power 1

The analysis of Absolute Band Power shows the Y-axis power value of the power spectrum of the specific frequency data for each channel. Before performing this analysis, in order to obtain the absolute power band spectrum it is necessary to use a moving window together. The moving window analysis is explained in the Method of Analysis of this chapter in detail. Please refer to it. The user should select Moving Window in the analysis tool bar at first, configure the window size and the overlap ratio, and then click this analysis method. And the frequency setting dialog box will pop up. When the specific bandwidth for analysis is configured into this frequency setting dialog box, it is possible to analyze the absolute power value of that bandwidth. The result is shown on the display window for each channel as below. The resulting graph that appears on this single screen is an absolute power value. If you wish to check out the result of another graph, it is necessary to use the dynamic function on the bottom of the display window. Besides, if you would like to check out all the absolute power values of the windows on a single screen, select History Mode from the pop-up menu that appears by clicking the right button of the mouse.

Absolute Band Power 2

Absolute Band Power 2

Relative Band Power

Relative Band Power 1

Relative Band Power 1

The analysis of Relative Band Power shows the relative power value of the power spectrum of the specific frequency data for each channel. Before performing this analysis, in order to obtain the relative power band spectrum it is necessary to use a moving window together. The moving window analysis is explained in the Method of Analysis of this chapter in detail. Please refer to it!The user should select Moving Window in the analysis tool bar at first, configure the window size and the overlap ratio, and then click this analysis method. And the frequency setting dialog box will pop up. When the specific bandwidth for analysis is configured into this frequency setting dialog box, it is possible to analyze the relative power value of that bandwidth. The result is shown on the display window for each channel as below. The resulting graph that appears on this single screen is a relative power value. If you wish to check out the result of another graph, it is necessary to use the dynamic function on the bottom of the display window. Besides, if you would like to check out all the relative power values of the windows on a single screen, select History Mode from the pop-up menu that appears by clicking the right button of the mouse.

Relative Band Power 2

Relative Band Power 2

Band to Band Power

Band to Band Power 1

Band to Band Power 1

The analysis of Band to Band Power used to analyze power spectrum ratio of the optional two frequency band. Before performing this analysis, in order to obtain the band to band power it is necessary to use a moving window together. The moving window analysis is explained in the Method of Analysis of this chapter in detail. Please refer to it!. The user should select Moving Window in the analysis tool bar at first, configure the window size and the overlap ratio, and then click this analysis method. And the frequency setting dialog box will pop up. When the specific bandwidth for analysis is configured into this frequency setting dialog box, it is possible to analyze the power value ratio of that bandwidth. The result is shown on the display window for each channel as below. The resulting graph that appears on this single screen is band to band power. If you wish to check out the result of another graph, it is necessary to use the dynamic function on the bottom of the display window. Besides, if you would like to check out all the band to band power values of the windows on a single screen, select History Mode from the pop-up menu that appears by clicking the right button of the mouse.

Band to Band Power 2

Band to Band Power 2

Statistical Analysis

The purposes of statistical analysis are to express data as statistical variables and to conduct mutual comparison and analysis of data. There are various methods in statistical analysis, depending on purposes of analysis. This program provides the basic methods of Histogram, Probability Distribution, Skewness, and Kurtosis.

 

Histogram

Histogram 1

Histogram 1

Histogram showing the number of data frequency as a bar graph is used to visually express characteristics of data. Although histogram is similar to probability distribution in the light of shape, the y-axis of histogram shows more accurate frequency. Select data you want to apply this method in Analysis Window and click the icon of Histogram in Analysis Tool Bar. This will display a graph showing analysis results as below. Analysis results are shown as a bar graph in histogram, which is registered at Analysis Window. The x-axis of histogram represents data range, while the y-axis shows frequency.

Histogram 2

Histogram 2

Probability Distribution

Probability Distribution 1

Probability Distribution 1

Probability Distribution is a method showing the probability distribution of the relevant data value. This analysis additionally shows Mean, Standard Deviation, Skewness, and Kurtosis. These four variables will be explained in detail.

Probability distribution can be characterized by moments. Mean is the first moment value as follow;

Mean, also called as expected value, is the value calculated by dividing total sum of signals by the number of signal data. Probability distribution is the one of which sum is 1 to show distribution of probability depending on variables, when values of signals are regarded as variables. Variance, defined as the second moment value, is the value defining the degree of distance from mean in the probability distribution graph as follow;

Standard Deviation is a square root of variance as follow;

Standard deviation is a value relating to the shape of probability distribution graph. While referring to the following graphs, meaning of these values will be discussed again.

Probability Distribution 2

Probability Distribution 2

Probability distribution graphs showing mean and standard deviation are presented in the above. In the case of probability distribution in the form of symmetrical mountain as above, the middle value of probability distribution is Mean. Standard Deviation is a value showing the degree that the probability distribution graph is scattered. Lower standard deviation means narrower probability distribution graph, indicating that data are centered on mean. In other words, when standard deviation is low, most data values are similar to mean and differences among data values are not great.
Select data you want to apply this method in Analysis Window and click the icon of Probability Distribution in Analysis Tool Bar. This will display a graph showing analysis results. In the top of probability distribution graph, Mean, Standard Deviation, Skewness, and Kurtosis values are indicated. Analysis results, calculated by channels, are shown as a bar graph, which is registered at Analysis Window.

Probability Distribution 3

Probability Distribution 3

Moving Skewness

Moving Skewness 1

Moving Skewness 1

Skewness, defined as the third moment value of signal, shows the asymmetrical degree of probability distribution graph.

If this value is positive one, the peak is generally inclined to the positive direction in the graph. In the case of negative value, the peak of the probability distribution graph is inclined to the negative direction. Therefore, this value shows how probability distribution of data is different from normal distribution.By use of the skewness analysis method you can analyze the skewness of each channel from the data and have it displayed on a display window. This case is to analyze the skewness for the whole data. On the other hand, if you wish to analyze the skewness changing with time, you can use the moving window analysis together. Select the target data from the analysis window first and then click Moving Window analysis icon in the analysis tool bar. And a window setting dialog box as shown below will pop up. In this dialog box, you can configure the window value and the overlap ratio of your choice; the former means the range of the data, while the latter represents the degree of overlap among the data. The window value and the overlap ratio are explained in the analysis method of Moving Window in detail. Please refer to it!

Moving Skewness 2

Moving Skewness 2

Moving Kurtosis

Moving Kurtosis 1

Moving Kurtosis 1

Kurtosis, defined as the fourth moment value of signal, shows the peakedness of probability distribution graph.

Positive value means that the shape of probability distribution graph is more peaked than normal distribution, while negative value means flatter shape.By use of the kurtosis analysis method you can analyze the kurtosis of each channel from the data and have it displayed on a display window. This case is to analyze the kurtosis for the whole data. On the other hand, if you wish to analyze the kurtosis changing with time, you can use the moving window analysis together. Select the target data from the analysis window first and then click Moving Window analysis icon in the analysis tool bar. And a window setting dialog box as shown below will pop up. In this dialog box, you can configure the window value and the overlap ratio of your choice; the former means the range of the data, while the latter represents the degree of overlap among the data. The window value and the overlap ratio are explained in the analysis method of Moving Window in detail. Please refer to it!

Moving Kurtosis 2

Moving Kurtosis 2

Custom Analysis

Custom Analysis

Custom Analysis

TThis is a new analysis group made by users through combination of various analysis methods. Since you can save the frequently used analysis steps as an analysis method, it is very useful when analyzing various data. For example, it is assumed that you frequently extract specific region and channels from data, obtain Power Spectrum of these data, and conduct Brain Mapping analysis. In this case, you have to click three kinds of analysis methods and conduct setting in dialogue boxes. If these steps are done in one step, the analysis can be highly facilitated. Custom Analysis is the very function for such case.

Register Custom Analysis

At first, arrange all analysis procedures and register them at Analysis Window. In other words, you have to do the frequently used procedures. After completion of all analysis procedures, select Add to Custom Analysis by clicking the right button of your mouse in Analysis Window. This will display the following dialogue box indicating that the procedures are saved as Custom Analysis. After completion of this step, if you check Custom Analysis in Analysis Tool Bar, you can see that all procedures are saved as one analysis method named as Analysis 6. Such Custom Analysis will enable you to apply the saved procedure to other data. Also, you can delete the saved procedure by clicking the right button of your mouse in Analysis Tool Bar and then, Delete. Moreover, using Rename function, you can rename the saved procedure as other name you want.

Register Custom Analysis

Register Custom Analysis

Custom Analysis Control

In case multiple user analysis methods have been registered, the user needs a way to manage these methods. In a case like this, Custom Analysis Control is utilized. When you select Custom Analysis and click the right button of the mouse on it, the menu of Custom Analysis Control appears in a pop-up menu. When this menu is clicked, the custom analysis control dialog box as shown below pops up, which shows the user analysis methods that have been registered and helps the user manage them. In this dialog box, a number is given sequentially in the order of registration in each ID field, and the name of the user analysis method appears in Name field. If you wish to change a name, double-click the target method and enter a new name. Ch. shows the channel number under which the registered user analysis method is being applied presently. S.Fq(Hz) lets you know the sampling frequency of the data analyzed by the user analysis method. By use of the right buttons in the custom analysis control dialog box, it is possible to delete a user analysis method that has been registered or apply revised data. In case the user would like to delete an analysis method, he or she should select the target and click Delete button. By clicking Delete All button, all the analysis methods that have been registered will be deleted. If you wish to revise the data of the user analysis methods and apply the newly revised data, make use of Apply button.

Custom Analysis Control

Custom Analysis Control

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