We consider the task of recognition of fragments of multichannel electroencephalogram (EEG) records corresponding to motions of the human arm and to mental representation of these motions. It is shown that the problem of recognition can be solved by processing short EEG segments by the method of fluctuation analysis. The obtained results suggest that fluctuation analysis can be used as an algorithm of the digital signal processing in development of the neurointerface software.
The task of recognizing oscillatory patterns of electroencephalograms (EEG) in the implementation of movements and their mental intention is considered to provide a software of the neurointerface. Using a multiscale analysis, an estimate was made of the number of channels that provide a reliable separation of background activity and movements of various types.
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