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This article is cited in 2 scientific papers (total in 2 papers)
Use of wavelets for recognizing types of motion by means of data on the electrical activity of the brain
D. S. Grishinaa, A. N. Pavlovab, O. N. Pavlovab, A. E. Runnovac a Yuri Gagarin State Technical University of Saratov
b Saratov State University
c Innopolis University, Innopolis, Tatarstan, Russia
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.
Keywords:
signal, pattern recognition, wavelet analysis, filtering.
Received: 29.04.2019 Revised: 29.04.2019 Accepted: 08.05.2019
Citation:
D. S. Grishina, A. N. Pavlov, O. N. Pavlova, A. E. Runnova, “Use of wavelets for recognizing types of motion by means of data on the electrical activity of the brain”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 45:16 (2019), 24–26; Tech. Phys. Lett., 45:8 (2019), 820–822
Linking options:
https://www.mathnet.ru/eng/pjtf5346 https://www.mathnet.ru/eng/pjtf/v45/i16/p24
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Abstract page: | 43 | Full-text PDF : | 11 |
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