Application of recurrent analysis to the determination of connections between EEG data channels

Anton Selskii; Margarita Popova; Michael Novikov; Elena Martirosyan; Artem Krutyakov; Elizaveta Emelyanova

doi:10.1117/12.2590818

4 May 2021 Application of recurrent analysis to the determination of connections between EEG data channels

Anton Selskii, Margarita Popova, Michael Novikov, Elena Martirosyan, Artem Krutyakov, Elizaveta Emelyanova

Proceedings Volume 11847, Saratov Fall Meeting 2020: Computations and Data Analysis: from Molecular Processes to Brain Functions; 118470B (2021) https://doi.org/10.1117/12.2590818
Event: Saratov Fall Meeting 2020, 2020, Saratov, Russian Federation

Abstract

In this report we proposed a method for identifying the individual characteristics of motor activity based on the recurrence analysis as applied to the encephalography of the human brain. The analysis was carried out according to the real and imaginary movements of the subjects and compared with each other. This approach makes it possible to identify for each subject connections between channels in which the frequency increases at the moment of motor activity and/or a stable pattern corresponding to this movement is formed. The proposed method has a large number of applications in medicine and neurophysiology.

Citation Download Citation

Anton Selskii, Margarita Popova, Michael Novikov, Elena Martirosyan, Artem Krutyakov, and Elizaveta Emelyanova "Application of recurrent analysis to the determination of connections between EEG data channels", Proc. SPIE 11847, Saratov Fall Meeting 2020: Computations and Data Analysis: from Molecular Processes to Brain Functions, 118470B (4 May 2021); https://doi.org/10.1117/12.2590818

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