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

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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Bibliographic Details
Main Authors: David Martínez-Pascual, José M. Catalán, Luís D. Lledó, Andrea Blanco-Ivorra, Nicolás García-Aracil
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Rehabilitation robotics
Neurorehabilitation
Deep learning
Exergames
Assistance as needed
Online Access:https://doi.org/10.1186/s12984-024-01517-4
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https://doi.org/10.1186/s12984-024-01517-4

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