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-Reference-Cited by-同舟云学术

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

Published:2016-05 Issue:3 Volume:42 Page:241-251
ISSN:0362-1197
Container-title:Human Physiology
language:en
Short-container-title:Hum Physiol

Author:

Bobrov P. D.,Isaev M. R.,Korshakov A. V.,Oganesyan V. V.,Kerechanin J. V.,Popodko A. I.,Frolov A. A.

Publisher

Pleiades Publishing Ltd

Subject

Physiology (medical),Physiology

Link

http://link.springer.com/content/pdf/10.1134/S036211971603004X.pdf

Reference22 articles.

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2. Mokienko, O.A., Bobrov, P.D., Chernikova, L.A., and Frolov, A.A., Brain–computer-interface supported motor imagery training for patients with hemiparesis, Byull. Sib. Med., 2013, vol. 12, no. 2, p. 30.

3. Frolov, A.A., Biryukova, E.V., Bobrov, P.D., et al., Principles of neurorehabilitation based on the brain–computer interface and biologically adequate control of the exoskeleton, Hum. Physiol., 2013, vol. 39, no. 2, p. 196.

4. Kotov, S.V., Turbina, L.G., Bobrov, P.D., et al., Rehabilitation of post stroke patients using a brain-computer interface + exoskeleton bioengineering system, Zh. Nevrol. Psikhiatr. im. S.S. Korsakova, 2014, no. 12, p. 66.

5. Fazli, S., Mehnert, J., Steinbrink, J., et al., Enhanced performance by a hybrid NIRS–EEG brain computer interface, NeuroImage, 2012, vol. 59, p. 519.

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