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Recognition and classification of oscillatory patterns of electric brain activity using artificial neural network approach
2017
Dynamics and Fluctuations in Biomedical Photonics XIV
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In the paper we study the problem of recognition type of the observed object, depending on the generated pattern and the registered EEG data. EEG recorded at the time of displaying cube Necker characterizes appropriate state of brain activity. As an image we use bistable image Necker cube. Subject selects the type of cube and interpret it either as aleft cube or as the right cube. To solve the problem of recognition, we use artificial neural networks. In our paper to create a classifier we have
doi:10.1117/12.2250001
fatcat:udsh7yx755h6fn3fk6ffjzw3r4