A deep learning model for assistive decision-making during robot-aided rehabilitation therapies based on therapists’ demonstrations

Abstract Background A promising approach to improving motor recovery during rehabilitation is the use of robotic rehabilitation devices. These robotic devices provide tools to monitor the patient’s recovery progress while providing highly standardized and intensive therapy. A major challenge in usin...

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Auteurs principaux:	David Martínez-Pascual, José M. Catalán, Luís D. Lledó, Andrea Blanco-Ivorra, Nicolás García-Aracil
Format:	Artigo
Langue:	Inglês
Publié:	BMC 2025-01-01
Collection:	Journal of NeuroEngineering and Rehabilitation
Sujets:	Rehabilitation robotics Neurorehabilitation Deep learning Exergames Assistance as needed
Accès en ligne:	https://doi.org/10.1186/s12984-024-01517-4
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