Brain-computer interface for alertness estimation and improving

Alexander Hramov; Vladimir Maksimenko; Marina Hramova

doi:10.1117/12.2291693

13 February 2018 Brain-computer interface for alertness estimation and improving

Alexander Hramov, Vladimir Maksimenko, Marina Hramova

Proceedings Volume 10493, Dynamics and Fluctuations in Biomedical Photonics XV; 104931B (2018) https://doi.org/10.1117/12.2291693
Event: SPIE BiOS, 2018, San Francisco, California, United States

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.

Citation Download Citation

Alexander Hramov, Vladimir Maksimenko, and Marina Hramova "Brain-computer interface for alertness estimation and improving", Proc. SPIE 10493, Dynamics and Fluctuations in Biomedical Photonics XV, 104931B (13 February 2018); https://doi.org/10.1117/12.2291693

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