Principles of motor recovery in post-stroke Patients Using Hand Exoskeleton Controlled by the Brain-Computer Interface Based on Motor Imagery

Title:

Principles of motor recovery in post-stroke Patients Using Hand Exoskeleton Controlled by the Brain-Computer Interface Based on Motor Imagery

Creator:

Frolov, A. A., Húsek, D., Biryukova, E. V., Bobrov, P. D., Mokienko, O. A., and Alexandrov, A. V.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:da58cd57-e959-42c2-a53f-b6d8f18fd80a
uuid:da58cd57-e959-42c2-a53f-b6d8f18fd80a
doi:10.14311/NNW.2017.27.006

Subject:

brain computer interface, motor imagery, post-stroke and post-traumatic patients, arm and hand exoskeleton, proportional derivative controller, motor synergy, and clinical application

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

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.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2017 Volume:27 | Number:1

Harvested from:

CDK

Metadata only:

false