JP2006325754A - Electroencephalogram (eeg) dipole tracing apparatus, eeg dipole tracing method, program for eeg dipole tracing, and storage medium storing the program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an EEG dipole tracing apparatus for analyzing/processing the position and the vector components of an intracerebral dipole at high speed in actual time corresponding to the EEG measurement. <P>SOLUTION: The EEG dipole tracing apparatus comprises a plurality of electrodes 2 for EEG measurement, a multi-channel EEG amplifier 4 for amplifying the measurement electric potential of each electrode 2, an A/D convertor 5 for converting the amplified electric potential to digital data, a file system 14 for storing data on the transmission matrix of the electric potential from previously constructed dipoles in the brain onto the scalp and data on the initial position of an arbitrary number of dipoles assumed in the brain, and an analysis processing means 6. The analysis processing means 6 performs the analysis process by the least square method using measured data on the electric potential and the data on the transmission matrix and initial position read from the file system 14 by means of parallel processes for each initial position performed by a plurality of subordinate calculators 8A, 8B, ... 8N, and determines the optimum position and vector components of the dipoles inside the brain with the minimum square error between the distribution of the electric potential generated by the dipoles assumed inside the brain and the measured distribution of the electric potential in the actual time. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an electroencephalogram dipole analyzer, an electroencephalogram dipole analysis method, an electroencephalogram dipole analysis program, and a storage medium storing the program.

  A method that approximates the electromotive force in the brain with a small number of current dipoles and determines the position and vector component of each dipole from the potential distribution measured by multiple electrodes arranged on the scalp using the least square method. Is called the equivalent dipole method and has been used for a long time as a non-invasive method of estimating brain activity. This is a method for determining the position and vector component of each dipole so as to minimize the square error between the potential distribution generated by the dipole assumed in the brain and the measured potential distribution.

  Since one dipole has 6 degrees of freedom (3 each for position and vector component), when N dipoles are used, the square error is a function of 6N variables, but the vector component is By utilizing the linear relationship with the potential distribution on the scalp, the problem of minimizing the square error is reduced to the problem of minimizing the evaluation function that depends only on the position of the dipole (3N variable).

  In order to minimize the evaluation function, it is necessary to rely on an iterative method represented by the simplex method. That is, this is a method of starting from an appropriate initial position and moving the dipole little by little in a direction in which the evaluation function decreases.

  For this reason, it is necessary to repeat the potential calculation every time the dipole is moved. Furthermore, the evaluation function may have a plurality of local minimum points. In order to find the true minimum point with a high probability, the evaluation function starts from a plurality of initial positions and is repeatedly minimized. The method of selecting the one that minimizes is used.

  As described above, the number of potential distribution calculations becomes enormous due to two types of factors. In order to increase the speed of the potential calculation, it is preferable to use a simple skull model. However, in order to improve the accuracy of the potential calculation, a complex model that closely represents the actual skull is desired. Actually, a real three-layer skull model is often used because of the balance between calculation speed and calculation accuracy, and a high-speed potential calculation method specialized for such a three-layer skull model and other multi-layer skull models. Has been proposed.

The above matters are described in detail in the following documents.
Tbshimitsu Musha & Yoshiwo Okamoto: Forward and Inverse Problems of EEG Dipole Localization, Critical Reviews in Biomedical Engineering, vol.27, no.3-5,189-239,1999

  As a conventional technique for determining the position and vector component of a brain dipole, for example, an equivalent dipole device disclosed in Patent Document 1 has been proposed. The equivalent dipole device of Patent Document 1 is configured to correct calculation errors due to various substances such as a cavity in the skull and a skull, and to estimate an accurate position and vector component of the brain dipole. .

However, even in the case of this Patent Document 1, since the number of electric field distribution calculations is enormous and correction calculation is also necessary, it is not easy to realize high-speed processing that can realize real-time analysis of dipole analysis. Absent.
Japanese Patent Publication No. 7-79804

  As described above, since dipole analysis of a dipole in the brain requires enormous calculations, an electroencephalogram dipole analysis apparatus and method capable of high-speed processing capable of realizing real-time analysis have been conventionally used. It is a point that does not exist.

  The present invention provides an electroencephalogram dipole analysis in which the position and vector components of each dipole are determined in real time so as to minimize the square error between the potential distribution generated by the assumed dipole in the brain and the measured potential distribution. A plurality of electrodes for electroencephalogram measurement arranged on the scalp of the subject, a transfer matrix of potential from the dipole in the brain to the scalp and an arbitrary number of dipoles assumed in the brain Using a file system storing initial position data, measured potential data of the plurality of electrodes, transfer matrix read from the file system and initial position data, and performing analysis processing by a least square method on a plurality of computers The optimal dipole position and vector components in the brain that minimize the square error between the potential distribution in which the assumed dipole is generated in the brain and the measured potential distribution are time And analysis means for determining, and most an outputting means for outputting an analysis result.

The present invention has the following effects.
According to the first to third aspects of the present invention, the electromotive force in the brain is obtained from the potential distribution measured by the plurality of electrodes arranged on the scalp surface in the head based on the noninvasive configuration in the head. It is possible to determine (estimate) the approximate dipole position and vector component in real time by executing parallel processing by a computer, display the result of the determination in real time, print it, and store it in memory. An electroencephalogram dipole analyzer can be provided.

  According to the fourth to sixth aspects of the present invention, a parallel dipole analysis process is performed on the position and vector component of the dipole that approximates the electromotive force in the brain using the electroencephalogram dipole analyzer of the present invention. Thus, it is possible to provide an electroencephalogram dipole analysis method capable of performing high-speed determination (estimation) in real time, displaying the determination result in real time, printing it, and storing it in memory.

  According to the seventh to ninth aspects of the present invention, a series of processes including determination of a transfer matrix, setting of initial position data of a dipole assumed in the brain, acquisition of brain wave measurement data, and high-speed analysis processing based on these To determine (estimate) the position and vector component of the dipole that approximates the electromotive force in the brain in real time, and to display and print the determination result in real time, and to further accurately store and hold the data. It is possible to provide an electroencephalogram dipole analysis program that can be realized in a simple manner.

  According to the invention described in claims 10 to 12, a storage medium capable of easily constructing a computer system capable of realizing an electroencephalogram dipole analysis method capable of high-speed processing using the electroencephalogram dipole analyzer of the present invention. Can be provided.

  An object of the present invention is to provide an electroencephalogram dipole analyzer that analyzes a brain dipole position and a vector component in real time at high speed corresponding to electroencephalogram measurement. An electroencephalogram dipole analyzer that determines the position and vector components of each dipole in real time so as to minimize the square error between the potential distribution and the measured potential distribution. The electroencephalogram is placed on the scalp of the subject. A plurality of electrodes for measurement, an electrode cap for efficiently arranging each electrode, a multi-channel electroencephalogram amplifier that amplifies the measurement potential of each electrode, and an A / A that converts the amplified potential into digital data D converter, file system storing potential transfer matrix from dipole in brain to scalp and data of initial position of arbitrary number of dipoles assumed in brain, and A / D conversion Of the potential output from the Using the data, the transfer matrix read from the file system and the data of the initial position, analysis processing by the least square method is performed by parallel processing for each initial position by a plurality of computers, and the assumed dipole is generated in the brain. Analysis processing means for determining in real time the optimal dipole position and vector component in the brain that minimizes the square error between the potential distribution and the measured potential distribution; and output means for visually outputting the analysis result It realized in the composition which has.

Examples of the present invention will be described in detail below.
1 and 2 show the configuration of an electroencephalogram dipole analyzer 1 capable of real-time processing according to an embodiment of the present invention.
An electroencephalogram dipole analyzer 1 according to an embodiment of the present invention includes a plurality of electrodes 2 for electroencephalogram measurement arranged on the scalp in a subject's head 30 and an electrode cap for efficiently arranging the electrodes 2. 3, a multichannel electroencephalogram amplifier 4 that amplifies the potential of each electrode 2, an A / D converter 5 that converts the output of the electroencephalogram amplifier 4 into digital data, and an A / D converter 5 Main computer that constitutes analysis processing means 6 that takes in potential data and performs dipole analysis by the least square method based on a real-time dipole analysis program (details will be described later), preprocessing, initial setting, etc. 7 and a plurality of sub-computers 8A, 8B... 8N (N is a positive integer), a display device 9 for displaying the processing result of the analysis processing means 6 as shown in FIG. Record the printer 10 and processing results. An input / output device 13 including an auxiliary storage unit 11 such as a hard disk and a CD-RAM, which are storage means, and an input unit 12 such as a keyboard for inputting data for designating data such as brain tissue conductivity; And a file system 14 including a data storage file for storing various data necessary for the calculation processing of the analysis processing means 6.

  As shown in FIG. 2, the main computer 7 includes a sub computer interface 21 for communicating various data with the sub computers 8A, 8B... 8N, the A / D converter 5, and the display. The input / output device 13 and the input / output interface 22 for the file system 14 including the device 9, the printer 10, the auxiliary storage unit 11 and the input unit 12, and a program for real-time dipole analysis capable of executing processing to be described in detail later And a CPU 24 that executes the processing program, performs a calculation process, and the like.

  This main computer 7 sets various data necessary for the pre-processing for the real-time dipole analysis, i.e., the real-time dipole analysis, or sets the initial settings, i.e., the calculation start. Immediately before, a process of distributing the data to the sub-computers 8A, 8B,... 8N is executed, and further, a dipole analysis process is executed in real time based on the actually measured data by the plurality of electrodes 2.

  Next, an electroencephalogram dipole analysis method using real-time processing based on a program for dipole analysis using the electroencephalogram dipole analyzer 1 according to the present embodiment will be described in detail.

  In the electroencephalogram dipole analysis method according to the present embodiment, as shown in FIG. 3, the dipole d in the brain (shown with a white circle in FIG. 1) based on the dipole analysis program prior to the electroencephalogram dipole analysis. ) For preprocessing for obtaining a transfer matrix describing the transmission state of potential from the scalp to the scalp (step S10), initial setting for analysis processing by the analysis processing means 6 (step S20), analysis processing by the analysis processing means 6 (step S30) and an analysis result output process (step S50). Each of these processes will be described below by item.

  The preprocessing (step S10) will be described with reference to FIG. In the dipole calculation, a transfer matrix from the dipole d in the brain to the potential on the scalp is necessary. The transfer matrix is determined by the skull model and electrode arrangement on the scalp, and is described by, for example, a matrix of n rows and m columns. The skull model is determined by the shape and conductivity of each tissue fraction.

(A) Setting of skull model (cranium shape model) (step S11)
When an MRI image or an X-ray CT image of the head 30 of the subject (subject) can be used, a skull model personally adapted to the subject is constructed from these tomographic images. When such a tomographic image cannot be used, a standard skull model is deformed according to the subject. That is, measure the distance between the eyebrow and external occipital ridges of the subject, the distance between the left and right anterior pinna points, and the distance from the eyebrows to the external occipital ridges along the scalp, so that they match. A skull model is constructed by extending and compressing the standard model in each axial direction.

(B) Designation of conductivity of each tissue (step S12)
In the case of a three-layer skull model, the conductivity of brain tissue, bone tissue, and epidermis is designated, and in the case of the four-layer skull model, the conductivity of cerebrospinal fluid is designated in addition to them. If necessary, the conductivity obtained by a flow experiment is used, but a standard value is usually adopted.

(C) Setting of electrode arrangement (step S13)
When the electrodes are arranged based on the international standard 10/20 method, the electrode positions are automatically calculated inside the main computer 7 based on the skull model. When the electrodes are arranged by a unique method, the positions of the individual electrodes are measured and the data is input to the main computer 7.

(D) Storage of each data in a data file (step S14)
The above-described skull model, conductivity, and electrode arrangement data are stored in the data storage file of the file system 14.

(E) Transfer matrix calculation (step S15)
The main computer 7 calculates a transfer matrix using the skull model, conductivity, and electrode arrangement data stored in the data storage file of the file system 14. Usually, the calculation of the transfer matrix only needs to be performed once for each subject. However, when the electrode arrangement is changed, or when the shape of the skull or the conductivity distribution changes due to craniotomy or the like, another calculation is required.

(F) Storing calculation results (step S16)
The main computer 7 stores the calculated transfer matrix in the data storage file of the file system 14.

Next, the initial setting (step S20) will be described with reference to FIG.
The main computer 7 reads a list of initial positions of dipoles preset and stored in the data storage file of the file system 14 (step S21). In this case, if there are N initial positions, the main computer 7 performs high-speed processing. In order to realize the above, data at different initial positions are distributed to the N sub-computers 8A, 8B... 8N (step S22).
Next, the main computer 7 reads the transfer matrix data of the subject from the data storage file (step S23), and transfers the transfer matrix to all the sub computers 8A, 8B,. Is delivered (step S24). As a result, the main computer 7 enters a standby state for a calculation start command by the operator.

Next, dipole analysis (step S30) will be described with reference to FIG.
When there is a calculation start command from the operator (step S31), the main computer 7 repeatedly executes the following procedure. That is, the main computer 7 first transmits a conversion start command to the A / D converter 5 (step S32). As a result, the A / D converter 5 converts the measured electroencephalogram data output from each electrode 2 into digital data and sends it to the input / output interface 22 of the main computer 7.

  The main computer 7 takes in the digital data of the A / D converter 5 (step S33), and then performs offset and drift removal processing (step S34). In other words, no matter what electrode 2 is used for the measurement of the electroencephalogram, it is inevitable that offsets and drifts are caused by fluctuations in the polarization potential. For example, when the dipole analysis of the evoked electroencephalogram for an appropriate stimulus is performed offline, the baseline of the electroencephalogram can be determined so that the average value of the electric potential in the appropriate time interval before the stimulation is zero, In the child analysis, there is no clear time zone in which the brain potential should be zero. For this reason, when an appropriate time length T is designated and the potential distribution measured at time t is analyzed for dipoles, the baseline is determined so that the average value from time t-T to time t becomes zero. To do.

  Next, the main computer 7 distributes the potential distribution data after the offset and drift removal processing to the N sub-computers 8A, 8B... 8N (step S35), and further issues a calculation start command (step S36).

  Each of the sub computers 8A, 8B,... 8N uses different initial position data and transfer matrix data distributed in advance based on the calculation start command, and potential distribution data after the offset and drift removal processing. Analysis processing is executed in parallel (step S37). Specifically, based on the least square method, a dipole analysis process is performed in real time so as to minimize the square error between the potential distribution in which the assumed dipole is generated in the brain and the actually measured potential distribution. In this case, the number of iterations until convergence to the minimum value differs depending on the initial value, and the calculation time from the initial value that required the most iterations determines the overall calculation time, but if an upper limit of iteration is set, The maximum time to complete the calculation can be guaranteed.

  Next, each of the sub computers 8A, 8B... 8N transmits the processing result of the dipole analysis to the main computer 7 (step S38). The main computer 7 collects the processing results from each of the sub computers 8A, 8B,... 8N, and selects the optimum processing result (of the ones that minimize the square error between the measured value and the calculated value of the potential distribution). The smallest one is selected, and the actual position and vector component of each dipole in the head 30 is determined (estimated) in real time (step S39).

  The main computer 7 further performs processing for visually outputting the optimum processing result as necessary, that is, output processing for display by the display device 9, output processing for printing by the printer 10, and Then, a writing process to the auxiliary storage unit 11 is performed (step S40).

  Thereafter, if there is a stop command from the operator (step S41), the series of processing is terminated, and if there is no stop command, the processing from step S2 is repeated.

  According to the electroencephalogram dipole analysis method using real time processing based on the dipole analysis program using the electroencephalogram dipole analysis apparatus 1 of the present embodiment described above, a non-invasive configuration in the head 30 is achieved. Based on the potential distribution measured by the plurality of electrodes 2 arranged on the scalp surface in the head 30, the dipole positions and vector components approximating the electromotive force in the brain are sub-computers 8A, 8B... 8N By executing parallel processing according to, it is possible to determine (estimate) at high speed in real time, display the determination result in real time, print it, and store it in memory.

  Further, as described above, a process for obtaining a transfer matrix of a potential from a dipole in the brain to the scalp based on a predetermined skull model of the subject and the arrangement of the plurality of electrodes 2 on the scalp of the subject; Processing for setting the initial position data of the dipole assumed in FIG. 2, processing for obtaining measured data from a plurality of electrodes 2 for electroencephalogram measurement placed on the scalp of the subject, transfer matrix, initial position data, actual measurement Based on the data, the analysis process by the least square method is performed by parallel processing for each initial position, and the optimal brain that minimizes the square error between the potential distribution in which the assumed dipole is generated in the brain and the measured potential distribution Determines (estimates) the position and vector component of the dipole that approximates the electromotive force in the brain using a brain wave dipole analysis program that performs real-time processing to determine the position and vector component of the dipole. , Display the decision result in real time To print Ri, more can be accurately realized a process for storing and holding.

  Furthermore, the electroencephalogram dipole analysis program is stored in a storage medium such as a CD-ROM or a DVD-ROM, and can be read by a computer, so that the electroencephalogram dipole analysis of this embodiment can be performed using this storage medium. A computer system capable of realizing a brain wave dipole analysis method capable of high-speed processing using the apparatus 1 can be easily constructed.

  The above-described optimum processing result in the present invention can be utilized as BCI (Brain Computer Interface) data. In the present invention, the main computer can also serve as sub-computers. In this case, there are N computers (the main computer and N-1 sub-computers) for N initial positions. It ’s fine. When high speed is not important, it is possible to construct an inexpensive system by one computer (main computer) playing the role of a plurality of sub computers.

It is a block diagram which shows schematic structure of the electroencephalogram dipole analyzer which concerns on the Example of this invention. It is a block diagram which shows the detail of the main computer of the electroencephalogram dipole analyzer which concerns on the Example of this invention, and an input / output device. It is a flowchart which shows the flow of the whole process of the electroencephalogram dipole analysis method based on the Example of this invention. It is a flowchart which shows the content of the pre-processing of the electroencephalogram dipole analysis method which concerns on the Example of this invention. It is a flowchart which shows the content of the initial setting of the electroencephalogram dipole analysis method based on the Example of this invention. It is a flowchart which shows the content of the dipole analysis process of the electroencephalogram dipole analysis method which concerns on the Example of this invention.

Explanation of symbols

d Dipole in the brain 1 Electroencephalogram dipole analyzer 2 Electrode 3 Electrode cap 4 EEG amplifier 5 A / D converter 6 Analysis processing means 7 Main computer 8A Sub computer 8B Sub computer 8N Sub computer 9 Display device 10 Printer 11 Auxiliary Storage unit 12 Input unit 13 Input / output device 14 File system 21 Sub-computer interface 22 Input / output interface 23 Program storage unit 24 CPU
30 heads

Claims (12)

An electroencephalogram dipole analyzer that determines the position and vector components of each dipole in real time so as to minimize the square error between the potential distribution of the assumed dipole in the brain and the measured potential distribution. ,
A plurality of electrodes for electroencephalogram measurement placed on the scalp of the subject;
A file system that stores a potential transfer matrix from a dipole in the brain to the scalp and data of an initial position of an arbitrary number of dipoles assumed in the brain,
Using the measured data of the potentials by the plurality of electrodes, the transfer matrix and the initial position data read from the file system, analysis processing by the least square method is performed by parallel processing for each initial position by a plurality of computers, An analysis processing means for determining in real time the optimal position and vector component of the dipole in the brain that minimizes the square error between the potential distribution generated by the dipole assumed in ii and the measured potential distribution;
An output means for outputting the analysis result;
An electroencephalogram dipole analyzing apparatus characterized by comprising: An electroencephalogram dipole analyzer that determines the position and vector components of each dipole in real time so as to minimize the square error between the potential distribution of the assumed dipole in the brain and the measured potential distribution. ,
A plurality of electrodes for electroencephalogram measurement placed on the scalp of the subject;
An electrode cap for efficiently arranging each electrode;
A multichannel EEG amplifier that amplifies the measurement potential of each electrode;
An A / D converter that converts the amplified potential into digital data;
A file system that stores a potential transfer matrix from a dipole in the brain to the scalp and data of an initial position of an arbitrary number of dipoles assumed in the brain,
Parallel processing for each initial position by a plurality of computers is performed using the least square method using measured data of the potential output from the A / D converter and the transfer matrix and initial position data read from the file system. Analytical processing means that determines the optimal dipole position and vector component in the brain that minimizes the square error between the potential distribution of the assumed dipole generated in the brain and the measured potential distribution in real time When,
An output means for visually outputting the analysis result;
An electroencephalogram dipole analyzing apparatus characterized by comprising: An electroencephalogram dipole analyzer that determines the position and vector components of each dipole in real time so as to minimize the square error between the potential distribution of the assumed dipole in the brain and the measured potential distribution. ,
A plurality of electrodes for electroencephalogram measurement placed on the scalp of the subject;
An electrode cap for efficiently arranging each electrode;
A multichannel EEG amplifier that amplifies the measurement potential of each electrode;
An A / D converter that converts the amplified potential into digital data;
A file system that stores a potential transfer matrix from a dipole in the brain to the scalp and data of an initial position of an arbitrary number of dipoles assumed in the brain,
Parallel processing for each initial position by a plurality of computers is performed using the least square method using measured data of the potential output from the A / D converter and the transfer matrix and initial position data read from the file system. Analytical processing means that determines the optimal dipole position and vector component in the brain that minimizes the square error between the potential distribution of the assumed dipole generated in the brain and the measured potential distribution in real time When,
A display device and printer for visually outputting the analysis result, and storage means for storing the analysis result;
An electroencephalogram dipole analyzing apparatus characterized by comprising: A process for obtaining a transfer matrix of potential from a dipole in the brain to the scalp by arranging a plurality of electrodes on the scalp of the subject and the subject's skull,
The process of setting the initial dipole data assumed in the brain;
The process of obtaining measured data from multiple electrodes for electroencephalogram measurement placed on the subject's scalp,
Based on the transfer matrix, the initial position data, and the measured data, the analysis process by the least square method is performed by parallel processing for each initial position, and the potential distribution in which the assumed dipole is generated in the brain and the measured potential distribution The process of determining in real time the optimal dipole position and vector component in the brain that minimizes the square error;
A method for analyzing an electroencephalogram dipole, comprising: The transfer matrix of potential from the dipole in the brain to the scalp is determined by the skull model determined by the shape and conductivity of each tissue fraction of the subject's head set in advance and the arrangement of multiple electrodes on the subject's scalp. The process of seeking
The process of setting the initial dipole data assumed in the brain;
A process of obtaining actual measurement data output from a plurality of electrodes for electroencephalogram measurement placed on the scalp of the subject and converted into digital data,
Based on the transfer matrix, the initial position data, and the actual measurement data, analysis processing by the least square method is performed by parallel processing for each initial position, and a potential distribution in which a dipole assumed in the brain is generated from each parallel processing result and The process of selecting the optimal dipole position and vector component in the brain that minimizes the square error with the measured potential distribution in real time,
The process of visually outputting the selection result,
A method for analyzing an electroencephalogram dipole, comprising: The transfer matrix of potential from the dipole in the brain to the scalp is determined by the skull model determined by the shape and conductivity of each tissue fraction of the subject's head set in advance and the arrangement of multiple electrodes on the subject's scalp. The process of seeking
The process of setting the initial dipole data assumed in the brain;
A process of obtaining actual measurement data output from a plurality of electrodes for electroencephalogram measurement placed on the scalp of the subject and converted into digital data,
Based on the transfer matrix, the initial position data, and the actual measurement data, analysis processing by the least square method is performed by parallel processing for each initial position, and a potential distribution in which a dipole assumed in the brain is generated from each parallel processing result and The process of selecting the optimal dipole position and vector component in the brain that minimizes the square error with the measured potential distribution in real time,
The process of displaying the selection result, printing, and storing,
A method for analyzing an electroencephalogram dipole, comprising: A process for obtaining a transfer matrix of potential from a dipole in the brain to the scalp by arranging a plurality of electrodes on the scalp of the subject and the skull model of the subject,
Processing to set the initial position data of the dipole assumed in the brain;
Processing to obtain actual measurement data from a plurality of electrodes for electroencephalogram measurement placed on the scalp of the subject;
Based on the transfer matrix, the initial position data, and the measured data, the analysis process by the least square method is performed by parallel processing for each initial position, and the potential distribution in which the assumed dipole is generated in the brain and the measured potential distribution A process for determining in real time the optimal position and vector component of the dipole in the brain that minimizes the square error;
A program for analyzing EEG dipoles. The transfer matrix of potential from the dipole in the brain to the scalp is determined by the skull model determined by the shape and conductivity of each tissue fraction of the subject's head set in advance and the arrangement of multiple electrodes on the subject's scalp. The required processing,
Processing to set the initial position data of the dipole assumed in the brain;
A process of obtaining a plurality of electrodes for electroencephalogram measurement placed on the scalp of the subject and obtaining actual measurement data converted into digital data,
Based on the transfer matrix, the initial position data, and the actual measurement data, analysis processing by the least square method is performed by parallel processing for each initial position, and a potential distribution in which a dipole assumed in the brain is generated from each parallel processing result and The process of selecting the optimal dipole position and vector component in the brain that minimizes the square error with the measured potential distribution in real time,
Visual output processing of selection results,
A program for analyzing EEG dipoles. The transfer matrix of potential from the dipole in the brain to the scalp is determined by the skull model determined by the shape and conductivity of each tissue fraction of the subject's head set in advance and the arrangement of multiple electrodes on the subject's scalp. The required processing,
Processing to set the initial position data of the dipole assumed in the brain;
A process of obtaining a plurality of electrodes for electroencephalogram measurement placed on the scalp of the subject and obtaining actual measurement data converted into digital data,
Based on the transfer matrix, the initial position data, and the actual measurement data, analysis processing by the least square method is performed by parallel processing for each initial position, and a potential distribution in which a dipole assumed in the brain is generated from each parallel processing result and In real time, select the optimal dipole position and vector component in the brain that minimizes the square error with the measured potential distribution,
Each process of displaying, printing and storing selection results;
A program for analyzing EEG dipoles. A process for obtaining a transfer matrix of potential from a dipole in the brain to the scalp by arranging a plurality of electrodes on the scalp of the subject and the skull model of the subject,
Processing to set the initial position data of the dipole assumed in the brain;
Processing to obtain actual measurement data from a plurality of electrodes for electroencephalogram measurement placed on the scalp of the subject;
Based on the transfer matrix, the initial position data, and the measured data, the analysis process by the least square method is performed by parallel processing for each initial position, and the potential distribution in which the assumed dipole is generated in the brain and the measured potential distribution A process for determining in real time the optimal position and vector component of the dipole in the brain that minimizes the square error;
A computer-readable storage medium characterized by storing a program for analyzing an electroencephalogram dipole that performs. The transfer matrix of potential from the dipole in the brain to the scalp is determined by the skull model determined by the shape and conductivity of each tissue fraction of the subject's head set in advance and the arrangement of multiple electrodes on the subject's scalp. The required processing,
Processing to set the initial position data of the dipole assumed in the brain;
A process of obtaining a plurality of electrodes for electroencephalogram measurement placed on the scalp of the subject and obtaining actual measurement data converted into digital data,
Based on the transfer matrix, the initial position data, and the actual measurement data, analysis processing by the least square method is performed by parallel processing for each initial position, and a potential distribution in which a dipole assumed in the brain is generated from each parallel processing result and The process of selecting the optimal dipole position and vector component in the brain that minimizes the square error with the measured potential distribution in real time,
Visual output processing of selection results,
A computer-readable storage medium characterized by storing a program for analyzing an electroencephalogram dipole that performs. The transfer matrix of potential from the dipole in the brain to the scalp is determined by the skull model determined by the shape and conductivity of each tissue fraction of the subject's head set in advance and the arrangement of multiple electrodes on the subject's scalp. The required processing,
Processing to set the initial position data of the dipole assumed in the brain;
A process of obtaining a plurality of electrodes for electroencephalogram measurement placed on the scalp of the subject and obtaining actual measurement data converted into digital data,
Based on the transfer matrix, the initial position data, and the actual measurement data, analysis processing by the least square method is performed by parallel processing for each initial position, and a potential distribution in which a dipole assumed in the brain is generated from each parallel processing result and In real time, select the optimal dipole position and vector component in the brain that minimizes the square error with the measured potential distribution,
Each process of displaying, printing and storing selection results;
A computer-readable storage medium characterized by storing a program for analyzing an electroencephalogram dipole that performs.

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