Evaluation of an Electromyography (EMG)-Driven Upper Extremity Model for Neurorehabilitation Applications

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Ford, Johnathan William

Evaluation of an Electromyography (EMG)-Driven Upper Extremity Model for Neurorehabilitation Applications

[Master's thesis]. Houston, TX: Rice University

Fregly, B. J. (supervisor)

April 2022

Links

URL: https://hdl.handle.net/1911/113362

PROQUEST: 3083200690
Abstract

Upper extremity EMG-driven models have the potential to inform the design of rehabilitation treatments. However, limitations exist when not all muscles have electromyographic (EMG) data available. Therefore, a synergy-based optimization approach was implemented to predict joint moments reliably despite missing EMG signals. Improvements are still needed, but progress is being made towards reliable prediction.

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