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

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