Use of Wavelets for Recognizing Types of Motion by Means of Data on the Electrical Activity of the Brain

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

doi:10.1134/S1063785019080224

Use of Wavelets for Recognizing Types of Motion by Means of Data on the Electrical Activity of the Brain

Autores: Grishina D.S.¹, Pavlov A.N.¹^,2, Pavlova O.N.², Runnova A.E.³
Afiliações:
1. Yuri Gagarin State Technical University of Saratov
2. Saratov State University
3. Innopolis University
Edição: Volume 45, Nº 8 (2019)
Páginas: 820-822
Seção: Article
URL: https://bakhtiniada.ru/1063-7850/article/view/208402
DOI: https://doi.org/10.1134/S1063785019080224
ID: 208402

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Resumo

We consider the task of oscillatory pattern recognition on the fragments of electroencephalogram records obtained during motion and their mental representation for the development of a neurointerface software. Using a multiscale analysis, the number of channels is estimated that will provide reliable separation of motions of various types from background activity.