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- W2794177779 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." @default.
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- W2794177779 date "2018-02-13" @default.
- W2794177779 modified "2023-09-27" @default.
- W2794177779 title "Identification of the patterns of brain activity during the imagination of movements using an artificial neural network" @default.
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- W2794177779 doi "https://doi.org/10.1117/12.2291688" @default.
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