Fregly, Benjamin J2022-09-262022-09-262022-052022-04-21May 2022Ford, Johnathan William. "Evaluation of an Electromyography (EMG)-driven Upper Extremity Model for Neurorehabilitation Applications." (2022) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/113362">https://hdl.handle.net/1911/113362</a>.https://hdl.handle.net/1911/113362Upper 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.application/pdfengCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.EMGelectromyographysynergyupper extremityThesis2022-09-26