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

Autor:	D. M. Lazurenko, I. V. Shcherban, N. E. Kirilenko, O. G. Shcherban
Rok vydání:	2021
Předmět:	Adaptive filter medicine.anatomical_structure business.industry Computer science medicine Pattern recognition Artificial intelligence Human brain business Eeg patterns
Zdroj:	INFORMACIONNYE TEHNOLOGII. 27:484-493
ISSN:	1684-6400
DOI:	10.17587/it.27.484-493
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d261450867c17903964b1693b7e55737 https://doi.org/10.17587/it.27.484-493 Zobrazit plný text záznamu