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Brain-computer interface for post-stroke rehabilitation

Vadim Grubov, Anton R. Kiselev, Artem Badarin, Nikolay Schukovsky
In the paper we proposed the approach for increasing of quality of neurorehabilitation of post-stroke patients based on wavelet analysis of EEG signals recoded during motor imagery. Also we proposed brain-computer interface based on the method. We determined all necessary procedures required to find motor imagery type (kinesthetic or visual) for each individual patient and described subsequent rehabilitation process. We tested developed
brain-computer interface on 20 participants with post-stroke motor impairment. We believe that developed system can be used not only in laboratory experimental conditions, but also in clinical ones.
CYBERNETICS AND PHYSICS, Vol. 8, Is. 4, 2019, 251–256, https://doi.org/10.35470/2226-4116-2019-8-4-251-256
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