Open AccessРаспознавание движений руки по сигналам электроэнцефалограммы на основе флуктуационного анализа
Author(s) -
А.Н. Павлов,
Anastasiya E. Runnova,
Vladimir A. Maksimenko,
О.Н. Павлова,
Д.С. Гришина,
А. Е. Храмов
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.2019.04.47327.17377
Subject(s) - computer science , electroencephalography , task (project management) , signal processing , pattern recognition (psychology) , software , representation (politics) , artificial intelligence , speech recognition , digital signal processing , signal (programming language) , computer vision , psychology , engineering , neuroscience , systems engineering , politics , law , political science , computer hardware , programming language
AbstractWe consider the task of recognition of fragments of multichannel electroencephalogram (EEG) records corresponding to motions of the human arm and to mental representation of these motions. It is shown that the problem of recognition can be solved by processing short EEG segments by the method of fluctuation analysis. The obtained results suggest that fluctuation analysis can be used as an algorithm of the digital signal processing in development of the neurointerface software.