Detection of EEG oscillatory patterns corresponding to human concentration of attention with help of perceptron type artificial neural network

Abstract

In this paper we analyzed possibility for detection of EEG oscillatory patterns related to states of low and high levels of human concentration during perception of visual stimuli with help of artificial neural network. We analyzed different variation of EEG signals combination in order to find optimal one. We performed classification of brain states with perceptron-type artificial neural network and analyzed quality of classification.