Dissociating motor learning from recovery in exoskeleton training post-stroke

Dissociating motor learning from recovery in exoskeleton training post-stroke

Abstract Background A large number of robotic or gravity-supporting devices have been developed for rehabilitation of upper extremity post-stroke. Because these devices continuously monitor performance data during training, they could potentially help to develop predictive models of the effects of m...

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Bibliographic Details
Main Authors: Nicolas Schweighofer, Chunji Wang, Denis Mottet, Isabelle Laffont, Karima Bakhti, David J. Reinkensmeyer, Olivier Rémy-Néris
Format: Article
Language:English
Published: BMC 2018-10-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Motor learning
Motor adaptation
Motor recovery
Stroke
Neurorehabilitation
Exoskeleton
Online Access:http://link.springer.com/article/10.1186/s12984-018-0428-1

Internet

http://link.springer.com/article/10.1186/s12984-018-0428-1

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