Evaluation of an Electromyography (EMG)-driven Upper Extremity Model for Neurorehabilitation Applications
Date
2022-04-21
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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.
Description
Advisor
Degree
Master of Science
Type
Thesis
Keywords
EMG, electromyography, synergy, upper extremity
Citation
Ford, Johnathan William. "Evaluation of an Electromyography (EMG)-driven Upper Extremity Model for Neurorehabilitation Applications." (2022) Master’s Thesis, Rice University. https://hdl.handle.net/1911/113362.
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