Recognizing Arm Motions by Fluctuation Analysis of EEG Signals

A. N. Pavlov; A. E. Runnova; V. A. Maksimenko; O. N. Pavlova; D. S. Grishina; A. E. Hramov

doi:10.1134/S1063785019020317

Recognizing Arm Motions by Fluctuation Analysis of EEG Signals

Autores: Pavlov A.N.¹, Runnova A.E.¹, Maksimenko V.A.¹, Pavlova O.N.², Grishina D.S.², Hramov A.E.¹
Afiliações:
1. Yuri Gagarin State Technical University of Saratov
2. Saratov State University
Edição: Volume 45, Nº 2 (2019)
Páginas: 129-131
Seção: Article
URL: https://bakhtiniada.ru/1063-7850/article/view/208212
DOI: https://doi.org/10.1134/S1063785019020317
ID: 208212

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Resumo

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.