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 - Journal Article
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 - others:Russian Ministry of Education and Science(RU) RFMEFI60715X0128
Institutional support: RVO:67985807
Keywords : brain computer interface * motor imagery * post-stroke and post-traumatic patients * arm and hand exoskeleton * proportional derivative controller * motor synergy * clinical application
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 0.500, year: 2017

Motor recovery in post-stroke and post-traumatic patients using exoskeleton controlled by the brain-computer interface (BCI) is a new and promising rehabilitation procedure. Its development is a multidisciplinary research which requires, the teamwork of experts in neurology, neurophysiology, physics, mathematics, biomechanics and robotics. Some aspects of all these fields of study concerning the development of this rehabilitation procedure are described in the paper. The description includes the principles and physiological prerequisites of BCI based on motor imagery, biologically adequate principles of exoskeleton design and control and the results of clinical application.
Permanent Link: http://hdl.handle.net/11104/0269637