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Proceedings Paper

Identification of the patterns of brain activity during the imagination of movements using an artificial neural network
Author(s): Semen A. Kurkin; Vyacheslav Yu. Musatov; Anastasiya E. Runnova; Svetlana V. Pchelintseva; Vadim V. Grubov
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Paper Abstract

In this paper, we investigate the problem of identification of patterns on magnetoencephalography signals of a brain associated with human movements. The design of registration of experimental data during magnetoencephalography (MEG) is developed and described. Consecutive imaginary movements of the hands and legs of the person are chosen as the basic movements. We solve the problem of recognition and classification of patterns using artificial neural networks. For a multilayer perceptron, good results of recognition of patterns of brain activity associated with different types of motion have been obtained.

Paper Details

Date Published: 13 February 2018
PDF: 8 pages
Proc. SPIE 10493, Dynamics and Fluctuations in Biomedical Photonics XV, 104931Q (13 February 2018); doi: 10.1117/12.2291688
Show Author Affiliations
Semen A. Kurkin, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Saratov State Univ. (Russian Federation)
Vyacheslav Yu. Musatov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Anastasiya E. Runnova, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Svetlana V. Pchelintseva, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Vadim V. Grubov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)


Published in SPIE Proceedings Vol. 10493:
Dynamics and Fluctuations in Biomedical Photonics XV
Valery V. Tuchin; Kirill V. Larin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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