METHODS OF CLASSIFICATION OF ELECTROENCEPHALOGRAM DATA FOR IDENTIFICATION OF ABSTRACT SYMBOLS PERCEPTION
Keywords:
electroencephalogram, signal classification, clusterAbstract
The developed methods for classifying electroencephalograms (EEGs) make it possible to detect brain responses to abstract stimuli, which form the basis for building brain-computer interface systems. The result of signal classification is the assignment of a test EEG to a corresponding cluster that represents a specific visual figure.
References
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