Game-based assessment in upper-limb post-stroke telerehabilitation

Cristina Rodríguez-de-Pablo*, Andrej Savić, Thierry Keller

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

6 Citas (Scopus)

Resumen

ArmAssist is a low-cost robotic system for post-stroke upper-limb rehabilitation based on serious games. The system incorporates a set of games for assessment, the ArmAssist Assessment (AAA). AAA provides a fast, quantitative and automatic evaluation of the arm function and allows a remote monitoring of the progress of the patient and an automatic adaptation of the therapy; all of them essential elements for partially unsupervised or remote rehabilitation. Apart from usability and motivational components, demonstrating the clinical meaningfulness of this assessment is crucial in order to be considered useful. Current study shows a statistically significant correlation of the AAA with three widely-used clinical tests, the Fugl-Meyer Assessment (FMA), the Action Research Arm Test (ARAT) and the Wolf Motor Function Test (WMFT). These results look promising and are expected to be improved with currently ongoing improvements in the system.

Idioma originalInglés
Título de la publicación alojadaBiosystems and Biorobotics
EditorialSpringer International Publishing
Páginas413-417
Número de páginas5
DOI
EstadoPublicada - 2017

Serie de la publicación

NombreBiosystems and Biorobotics
Volumen15
ISSN (versión impresa)2195-3562
ISSN (versión digital)2195-3570

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