Principles of Motor Recovery in Post-Stroke Patients using Hand Exoskeleton Controlled by the Brain-Computer Interface Based on Motor Imagery

0472302 - ÚI 2017 RIV CZ eng J - Článek v odborném periodiku
Frolov, A. A. - Húsek, Dušan - Biryukova, E. V. - Bobrov, P. - Mokienko, O. - Alexandrov, A.V.
Principles of Motor Recovery in Post-Stroke Patients using Hand Exoskeleton Controlled by the Brain-Computer Interface Based on Motor Imagery.
Neural Network World. Roč. 27, č. 1 (2017), s. 107-137. ISSN 1210-0552
Grant ostatní: Russian Ministry of Education and Science(RU) RFMEFI60715X0128
Institucionální podpora: RVO:67985807
Klíčová slova: brain computer interface * motor imagery * post-stroke and post-traumatic patients * arm and hand exoskeleton * proportional derivative controller * motor synergy * clinical application
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 0.500, rok: 2017

Citováno: 3

--- CHOI, H. - LEE, S. - LEE, J. - MIN, K. - LIM, S. - PARK, J. - AHN, K.H. - KIM, I.Y. - LEE, K.M. - JANG, D.P. Long-term evaluation and feasibility study of the insulated screw electrode for ECoG recording. JOURNAL OF NEUROSCIENCE METHODS. ISSN 0165-0270, OCT 1 2018, vol. 308, p. 261-268. [WOS]
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--- OSUAGWU, B.A. - ZYCH, M. - VUCKOVIC, A. Is Implicit Motor Imagery a Reliable Strategy for a Brain-Computer Interface?. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING. ISSN 1534-4320, DEC 2017, vol. 25, no. 12, p. 2239-2248. [WOS]

Trvalý link: http://hdl.handle.net/11104/0269637