Influence of Signal Preprocessing When Highlighting Steady-State Visual Evoked Potentials Based on a Multivariate Synchronization Index

摘要: This article covers the issue of data preprocessing when highlighting steady-state visual evoked potentials using preliminary band-pass filtering EEG signal. In introduction part authors illustrate relevance system integration such as human-machine interaction and brain-computer interface. The above-mentioned systems well ways signal for in electroencephalograms were examined. contains researches electroencephalogram signals with photostimulation frequencies 8 14 Hz sampling frequency 5 kHz based on multivariate synchronization index method. Influence recognition accuracy under study is considered. Ratio correctly recognized states considered function metric. Butterworth filters, Chebyshev filters I II types, elliptic Bessel different orders are bend-pass filters. result authors’ investigation a number recommendations parameters used while results obtained considerable practical importance they can be interface producing basis later taken building control theory robot application implementation decisions within narrow tasks.