Open AccessИспользование вейвлетов для распознавания типа движения по данным электрической активности головного мозга
Author(s) -
Д.С. Гришина,
А.Н. Павлов,
О.Н. Павлова,
А.Е. Руннова
Publication year - 2019
Publication title -
pisʹma v žurnal tehničeskoj fiziki
Language(s) - English
Resource type - Journals
eISSN - 1726-7471
pISSN - 0320-0116
DOI - 10.21883/pjtf.2019.16.48151.17857
Subject(s) - computer science , electroencephalography , artificial intelligence , software , task (project management) , pattern recognition (psychology) , psychology , neuroscience , engineering , systems engineering , programming language
The task of recognizing oscillatory patterns of electroencephalograms (EEG) in the implementation of movements and their mental intention is considered to provide a software of the neurointerface. Using a multiscale analysis, an estimate was made of the number of channels that provide a reliable separation of background activity and movements of various types.