Identification of the patterns of brain activity during the imagination of movements using an artificial neural network

Semen A. Kurkin; Vyacheslav Yu. Musatov; Anastasiya E. Runnova; Svetlana V. Pchelintseva; Vadim V. Grubov

doi:10.1117/12.2291688

13 February 2018 Identification of the patterns of brain activity during the imagination of movements using an artificial neural network

Semen A. Kurkin, Vyacheslav Yu. Musatov, Anastasiya E. Runnova, Svetlana V. Pchelintseva, Vadim V. Grubov

Author Affiliations +

Proceedings Volume 10493, Dynamics and Fluctuations in Biomedical Photonics XV; 104931Q (2018) https://doi.org/10.1117/12.2291688
Event: SPIE BiOS, 2018, San Francisco, California, United States

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.

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Semen A. Kurkin, Vyacheslav Yu. Musatov, Anastasiya E. Runnova, Svetlana V. Pchelintseva, and Vadim V. Grubov "Identification of the patterns of brain activity during the imagination of movements using an artificial neural network", Proc. SPIE 10493, Dynamics and Fluctuations in Biomedical Photonics XV, 104931Q (13 February 2018); https://doi.org/10.1117/12.2291688

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