Influence of the number of channels when highlighting steady-state visual evoked potentials based on a multivariate synchronization index

Abstract

In the introduction part the authors show timeliness of the methods study for generation of the human-robot interaction systems on the basis of the extraction of steady-state visual evoked potentials (SSVEP). The main methods of the extraction of steady-state visual evoked potentials in the electroencephalograms (EEG) were observed. This article reflects researches of the EEG signals with steady-state visual evoked potentials for various frequencies of the photostimulation basing on the multivariate synchronization index (MSI). The influence of the number of channels for the analysis on the recognition rate of the signal state under study is considered. The fraction of correctly recognized states is considered as an accuracy metrics. Also, during the research, the authors inspect the influence of the channel selection for signal analysis in the single channel mode. The result of the authors' research is recommendations on the number of channels used for highlighting of steady-state visual evoked potentials within the multivariate synchronization index method and the list of channels to be used in the single channel mode of the multivariate synchronization index for SSVEP highlighting. The results obtained are of considerable practical importance because they can be used for the brain-machine interface building on the SSVEP basis and can be forth used for development of the control theory of robot systems of various purposes and for implementation of the decisions on human-robot interaction arrangement for narrow practical tasks.