METHOD FOR STUDYING BRAIN ACTIVITY ACCORDING TO SCALP ELECTROENTEPHALOGRAM DATA Russian patent published in 2022 - IPC A61B5/372 

Abstract RU 2785268 C1

FIELD: medicine.

SUBSTANCE: invention relates to medicine, namely to a method for studying brain activity according to scalp multichannel EEG. In this case, a multichannel EEG is recorded for a selected period of time. The Euclidean distances are calculated from the studied point inside the head, given by its coordinates, to the electrodes located on the surface of the scalp, the spatial coordinates of which are known. The attenuation coefficients of the potential signal from the point under study to the used scalp electrodes are calculated. An artificial potential is generated with the calculation of its weakening on the scalp electrodes. The experimental and generated data are combined into a common lead data array. A correlation matrix is calculated between the leads of the combined data matrix for the entire doubling period. The resulting correlation matrix is ​​factorized by the method for principal components. Orthogonal rotation of the resulting matrix of factor loadings is carried out. A matrix of factor values ​​is obtained based on the combined matrix of initial data with further use of only one row of this matrix. The obtained factor values ​​are denormalized. The procedure is repeated to calculate similar activity from nearby points surrounding the given one in different directions and spaced from it at the same distance. For each point in time, the obtained results of activity for the surrounding points are averaged and this average value is subtracted from the activity of the point under study. The activity scale is restored based on the calculation of the linear regression coefficients between the cleaned activity and the activity from the same point before cleaning. The cleaned data is recalculated using linear regression coefficients.

EFFECT: obtaining data on changes in simulated activity with subsequent detection of activity in specified specific areas of the brain.

1 cl, 5 dwg, 1 ex

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RU 2 785 268 C1

Authors

Vartanov Aleksandr Valentinovich

Dates

2022-12-05Published

2021-06-10Filed