ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 9. Vol. 27. 2021

DOI: 10.17587/it.27.484-493

O. G. Shcherban, Cand. Tech. Sc., Associate Professor, e-mail: shchero@mail.ru, D. M. Lazurenko, Senior Researcher, e-mail: dmlazurenko@sfedu.ru, I. V. Shcherban, Dr. Tech. Sc., Professor, e-mail: shcheri@mail.ru, N. E. Kirilenko, Jr. Researcher, e-mail: nikolai-kirilenko@mail.ru, Southern Federal University, Rostov-on-Don, 344006, Russian Federation

The Synthesis of an Adaptive Filter for Automatic Detection and Time Localization of Premotor EEG Patterns of the Human Brain

An adaptive low-pass filter has been synthesized for automatic patterns detection of arbitrary mental movements in records of multidimensional electroencephalograms (EEG). The filter is based on the multivariate singular spectrum analysis. The effective bandwidth of the filter corresponds to the spectrum of the sought patterns of mental activity on the observed EEG time interval. The use of the synthesized filter provided a reliable automatic search for patterns and the correct determination of their time boundaries. The correctness of the results has been confirmed in experiments with 24 volunteers.
Keywords: adaptive low-pass filter, real-time searching, short-time patterns, EEG signals, multichannel singular spectrum analysis, the Hausdorff metric

To the contents