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EEG pattern decoding of rhythmic individual finger imaginary movements of one hand
Stankevich L.A., Sonkin K.M., Shemyakina N.V., Nagornova Z.V., Khomenko J.G., Perets D.S., Koval A.V.
Electrophysiological brain activity during the control of a motor imagery-based brain–computer interface
Frolov A.A., Aziatskaya G.A., Bobrov P.D., Luykmanov R.K., Fedotova I.R., Húsek D., Snašel V.
Brain–computer interface: The first experience of clinical use in Russia
Mokienko O.A., Lyukmanov R.K., Chernikova L.A., Suponeva N.A., Piradov M.A., Frolov A.A.
The changes in the hemodynamic activity of the brain during motor imagery training with the use of brain-computer interface
Frolov A.A., Husek D., Silchenko A.V., Tintera J., Rydlo J.
The Efficiency of the Brain-Computer Interfaces Based on Motor Imagery with Tactile and Visual Feedback
Lukoyanov M.V., Gordleeva S.Y., Pimashkin A.S., Grigor’ev N.A., Savosenkov A.V., Motailo A., Kazantsev V.B., Kaplan A.Y.
Sources of electrophysiological and foci of hemodynamic brain activity most relevant for controlling a hybrid brain–Computer interface based on classification of EEG patterns and near-infrared spectrography signals during motor imagery
Bobrov P.D., Isaev M.R., Korshakov A.V., Oganesyan V.V., Kerechanin J.V., Popodko A.I., Frolov A.A.
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