METHOD OF ANALYSING ELECTROENCEPHALOGRAM Russian patent published in 2012 - IPC G06F17/14 A61B5/476 

FIELD: physics.

SUBSTANCE: invention relates to medicine and can be used for automatic analysis of human electroencephalograms (EEG). The method comprises steps for recording an EEG; spectral analysis by continuous wavelet transform is carried out in two steps, at the first of which there is primary analysis of the recorded digital signal by the "common" wavelet, the basis function of which is a wavelet similar on its characteristics with the elementary area of the EEG; a matrix of recommendations on selection of the class of physiologically significant features of the recorded EEG is formed; physiologically significant parts of the analysed signal are selected; at the second step there is analysis of the physiologically significant parts of the analysed signal by the synthesised wavelets, the synthesis criterion of which is minimisation of the sum of squared deviations of the wavelet from the reference signal; a matrix of analysis results is formed; a video image of the moment of the patient is obtained, which is compared with the matrix of analysis results and, if the results match the corresponding information on moment, the patient has a physiologically significant feature and its type is determined, after which at least one trained artificial neural network is used to form a clinical conclusion matrix, based on which a clinical conclusion is formed in text form, which can be output for display and/or transmission to a remote reception unit; whether the patient has a disease is determined from the clinical conclusion.

EFFECT: automation of the process of analysing an EEG, high accuracy of analysis.

2 cl, 11 dwg