METHOD FOR IDENTIFYING DEPRESSION BASED ON EEG DATA Russian patent published in 2021 - IPC A61B5/00 

FIELD: computing technology.

SUBSTANCE: invention relates to computing technology, namely, to identification of depression based on EEG data. A method is proposed, containing: a preparatory stage wherein at least one EEG rest signal is preprocessed; informative features are extracted from at least one EEG rest signal, namely, channel synchronisation indicators and spectral power indicators; vectors are built based on the informative features extracted from said at least one EEG rest signal; vectors are built based on the informative feature vector and demographic data; a neural network is trained, wherein at least one vector built at the previous stage is supplied to the input of the neural network, a trained neural network is obtained at the output; a working stage wherein informative features are extracted from at least one EEG rest signal; vectors are built based on the informative features extracted from said at least one EEG rest signal; vectors are built based on the informative feature vector and demographic data; informative feature vector of the EEG rest signal are supplied to the input of the trained neural network, the result of the predicted diagnosis is obtained at the output.

EFFECT: ensures identification of depression in a patient based on the data of the EEG rest signal.

2 cl, 2 dwg