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Proceedings Paper

Brain-computer interface for alertness estimation and improving
Author(s): Alexander Hramov; Vladimir Maksimenko; Marina Hramova
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Paper Abstract

Using wavelet analysis of the signals of electrical brain activity (EEG), we study the processes of neural activity, associated with perception of visual stimuli. We demonstrate that the brain can process visual stimuli in two scenarios: (i) perception is characterized by destruction of the alpha-waves and increase in the high-frequency (beta) activity, (ii) the beta-rhythm is not well pronounced, while the alpha-wave energy remains unchanged. The special experiments show that the motivation factor initiates the first scenario, explained by the increasing alertness. Based on the obtained results we build the brain-computer interface and demonstrate how the degree of the alertness can be estimated and controlled in real experiment.

Paper Details

Date Published: 13 February 2018
PDF: 6 pages
Proc. SPIE 10493, Dynamics and Fluctuations in Biomedical Photonics XV, 104931B (13 February 2018); doi: 10.1117/12.2291693
Show Author Affiliations
Alexander Hramov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Vladimir Maksimenko, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Marina Hramova, Saratov State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10493:
Dynamics and Fluctuations in Biomedical Photonics XV
Valery V. Tuchin; Kirill V. Larin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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