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Study of EEG characteristics during the observation of an educational material
Author(s): Nikita S. Frolov; Vladimir O. Nedajvozov; Vadim V. Grubov; Anastasija E. Runnova; Roman A. Kulanin
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Paper Abstract

In this paper we applied analysis of multivariate time series for detection of changes in functional relations in brain during observation of educational material. Applied method is based on definition of mutual interdependence of processes and is known as Recurrent Measure of Dependence. In the paper we analyzed multichannel EEG signals obtained during experiments with observation of educational material by human subjects. We applied the method to EEG signals and showed qualitative changes in brain dynamics during educational process in comparison to dynamics of background activity.

Paper Details

Date Published: 3 June 2019
PDF: 4 pages
Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 1106702 (3 June 2019); doi: 10.1117/12.2527696
Show Author Affiliations
Nikita S. Frolov, Innopolis Univ. (Russian Federation)
Vladimir O. Nedajvozov, Innopolis Univ. (Russian Federation)
Vadim V. Grubov, Innopolis Univ. (Russian Federation)
Anastasija E. Runnova, Innopolis Univ. (Russian Federation)
Roman A. Kulanin, Yuri Gagarin State Technical Univ. of Saratov (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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