Email this article Use of Wavelets for Recognizing Types of Motion by Means of Data on the Electrical Activity of the Brain
- Authors: Grishina D.S.1, Pavlov A.N.1,2, Pavlova O.N.2, Runnova A.E.3
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Affiliations:
- Yuri Gagarin State Technical University of Saratov
- Saratov State University
- Innopolis University
- Issue: Vol 45, No 8 (2019)
- Pages: 820-822
- Section: Article
- URL: https://bakhtiniada.ru/1063-7850/article/view/208402
- DOI: https://doi.org/10.1134/S1063785019080224
- ID: 208402
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Abstract
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.
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About the authors
D. S. Grishina
Yuri Gagarin State Technical University of Saratov
Email: pavlov.alexeyn@gmail.com
Russian Federation, Saratov, 410054
A. N. Pavlov
Yuri Gagarin State Technical University of Saratov; Saratov State University
Author for correspondence.
Email: pavlov.alexeyn@gmail.com
Russian Federation, Saratov, 410054; Saratov, 410012
O. N. Pavlova
Saratov State University
Email: pavlov.alexeyn@gmail.com
Russian Federation, Saratov, 410012
A. E. Runnova
Innopolis University
Email: pavlov.alexeyn@gmail.com
Russian Federation, Innopolis, Tatarstan, 420500
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