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