До методу статистичної обробки електроенцефалограм

Abstract

This work is devoted to EEG analysis, Nonparametric EEG segmentation based on Kolmogorov–Smirnov statistics is considered. Electroencephalography records and analyses variable potential differences between the two areas of the brain, as well as between areas of the brain and distant tissues of the body. Electroencephalogram (EEG) is a complex oscillatory electrical process that can be detected by placing electrodes on the brain or on the surface of the scalp. EEG is the result of electrical summation and filtering of elementary processes occurring in the brain neurons. The spectrum of EEG is quite complicated. The classification of EEG rhythms by some basic ranges is introduced.