Dissociating motor learning from recovery in exoskeleton training post-stroke

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 motor tra...

Descripción completa

Detalles Bibliográficos
Autores principales: Schweighofer, Nicolas, Wang, Chunji, Mottet, Denis, Laffont, Isabelle, Bakthi, Karima, Reinkensmeyer, David J., Rémy-Néris, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173922/
https://www.ncbi.nlm.nih.gov/pubmed/30290806
http://dx.doi.org/10.1186/s12984-018-0428-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173922/
https://www.ncbi.nlm.nih.gov/pubmed/30290806
http://dx.doi.org/10.1186/s12984-018-0428-1

Ejemplares similares