An Efficient Framework for Personalizing EMG-Driven Musculoskeletal Models Based on Reinforcement Learning

An Efficient Framework for Personalizing EMG-Driven Musculoskeletal Models Based on Reinforcement Learning 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract:

This study aimed to develop a novel framework to quickly personalize electromyography (EMG)-driven musculoskeletal models (MMs) as efferent neural interfaces for upper limb prostheses. Our framework adopts a generic upper-limb MM as a baseline and uses an artificial neural network-based policy to fine-tune the model parameters for MM personalization. …

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