Email this article Recognizing Arm Motions by Fluctuation Analysis of EEG Signals
- Authors: Pavlov A.N.1, Runnova A.E.1, Maksimenko V.A.1, Pavlova O.N.2, Grishina D.S.2, Hramov A.E.1
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Affiliations:
- Yuri Gagarin State Technical University of Saratov
- Saratov State University
- Issue: Vol 45, No 2 (2019)
- Pages: 129-131
- Section: Article
- URL: https://journals.rcsi.science/1063-7850/article/view/208212
- DOI: https://doi.org/10.1134/S1063785019020317
- ID: 208212
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Abstract
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.
About the authors
A. N. Pavlov
Yuri Gagarin State Technical University of Saratov
Author for correspondence.
Email: pavlov.alexeyn@gmail.com
Russian Federation, Saratov, 410054
A. E. Runnova
Yuri Gagarin State Technical University of Saratov
Email: pavlov.alexeyn@gmail.com
Russian Federation, Saratov, 410054
V. A. Maksimenko
Yuri Gagarin State Technical University of Saratov
Email: pavlov.alexeyn@gmail.com
Russian Federation, Saratov, 410054
O. N. Pavlova
Saratov State University
Email: pavlov.alexeyn@gmail.com
Russian Federation, Saratov, 410012
D. S. Grishina
Saratov State University
Email: pavlov.alexeyn@gmail.com
Russian Federation, Saratov, 410012
A. E. Hramov
Yuri Gagarin State Technical University of Saratov
Email: pavlov.alexeyn@gmail.com
Russian Federation, Saratov, 410054
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