Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48122
Título: Combining virtual reality and a myoelectric limb orthosis to restore active movement after stroke: A pilot study
Autores/as: Bermúdez i Badia, Sergi 
Lewis, Ela
Bleakley, Scott
Clasificación UNESCO: 32 Ciencias médicas
3201 Ciencias clínicas
Palabras clave: Electromyogram (EMG)
Motor rehabilitation
Personalization
Robotic orthosis
Stroke, et al.
Fecha de publicación: 2014
Publicación seriada: International Journal on Disability and Human Development 
Resumen: We introduce a novel rehabilitation technology for upper limb rehabilitation after stroke that combines a virtual reality (VR) training paradigm with a myoelectric robotic limb orthosis. Our rehabilitation system is based on clinical guidelines and is designed to recruit specific motor networks to promote neuronal reorganization. The main hypothesis is that the restoration of active movement facilitates the full engagement of motor control networks during motor training. By using a robotic limb orthosis, we are able to restore active arm movement in severely affected stroke patients. In a pilot evaluation, we have successfully deployed and assessed our system with three chronic stroke patients by means of behavioral data and self-report questionnaires. The results show that our system is able to restore up to 60% of the active movement capability of patients. Further, we show that we can assess the specific contribution of the biceps/triceps movement of the paretic arm in a VR bilateral training task. Questionnaire data show enjoyment and acceptance of the developed rehabilitation system and its VR training task.
URI: http://hdl.handle.net/10553/48122
ISSN: 2191-1231
DOI: 10.1515/ijdhd-2014-0333
Fuente: International Journal on Disability and Human Development[ISSN 2191-1231],v. 13, p. 393-399 (Agosto 2014)
Colección:Artículos
Vista completa

Citas SCOPUSTM   

3
actualizado el 17-nov-2024

Visitas

38
actualizado el 27-jul-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.