Abstract:
We consider the task of oscillatory pattern recognition on the fragments of electroencephalogram records obtained during motion and their mental representation for the development of a neurointerface software. Using a multiscale analysis, the number of channels is estimated that will provide reliable separation of motions of various types from background activity.