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Learning Motor Imagery under EEG-Directed Neuromuscular Stimulation Inducing Congruent and Incongruent Wrist Movements
Morozova E., Skvortsov D., Kaplan A.
Brain–computer interface: The first experience of clinical use in Russia
Mokienko O., Lyukmanov R., Chernikova L., Suponeva N., Piradov M., Frolov A.
The Changes of Corticospinal Excitability During the Control of Artificial Hand Through the Brain–Computer Interface Based on the P300 Component of Visual Evoked Potential
Syrov N., Novichikhina K., Kir’yanov D., Gordleeva S., Kaplan A.
Recovery of the motor function of the arm with the aid of a hand exoskeleton controlled by a brain–computer interface in a patient with an extensive brain lesion
Biryukova E., Pavlova O., Kurganskaya M., Bobrov P., Turbina L., Frolov A., Davydov V., Silchenko A., Mokienko O.
The Efficiency of the Brain-Computer Interfaces Based on Motor Imagery with Tactile and Visual Feedback
Lukoyanov M., Gordleeva S., Pimashkin A., Grigor’ev N., Savosenkov A., Motailo A., Kazantsev V., Kaplan A.
Electrophysiological brain activity during the control of a motor imagery-based brain–computer interface
Frolov A., Aziatskaya G., Bobrov P., Luykmanov R., Fedotova I., Húsek D., Snašel V.
Efficiency of photostimulation controlled by subject’s EEG decreases under the conditions of feedback delay
Fedotchev A., Bondar’ A., Semenov V.
Neurofeedback in the Rehabilitation of Patients with Motor Disorders after Stroke
Kovyazina M., Varako N., Lyukmanov R., Asiatskaya G., Suponeva N., Trofimova A.
Neurophysiological foundations and practical realizations of the brain–machine interfaces in the technology in neurological rehabilitation
Kaplan A.
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