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Proceedings Paper

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

Paper Details

Date Published: 3 June 2019
PDF: 5 pages
Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 1106703 (3 June 2019);
Show Author Affiliations
Vadim V. Grubov, Innopolis Univ. (Russian Federation)
Nikita S. Frolov, Innopolis Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 11067:
Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions
Dmitry Engelevich Postnov, Editor(s)

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