Recognizing Arm Motions by Fluctuation Analysis of EEG Signals

We 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 flu...

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Bibliographic Details
Published in:	Technical physics letters Vol. 45; no. 2; pp. 129 - 131
Main Authors:	Pavlov, A. N., Runnova, A. E., Maksimenko, V. A., Pavlova, O. N., Grishina, D. S., Hramov, A. E.
Format:	Journal Article
Language:	English
Published:	Moscow Pleiades Publishing 01-02-2019 Springer Nature B.V
Subjects:	Algorithms Classical and Continuum Physics Digital signal processing Electroencephalography Physics Physics and Astronomy Recognition Variation
Online Access:	Get full text
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Summary:	We 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.
ISSN:	1063-7850 1090-6533
DOI:	10.1134/S1063785019020317