13 February 2018 Identification of the patterns of brain activity during the imagination of movements using an artificial neural network
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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, 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); doi: 10.1117/12.2291688; https://doi.org/10.1117/12.2291688
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