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Myoelectric computer interfaces to reduce co-contraction after stroke., , and . EMBC, page 879-882. IEEE, (2012)Post-stroke motor deficits are most evident at frequencies near 125 Hz in EMG multivariate probability distributions., , , and . EMBC, page 5229-5232. IEEE, (2019)Extracting kinetic information from human motor cortical signals., , , , , , , , , and 6 other author(s). NeuroImage, (2014)Control of a biomimetic brain machine interface with local field potentials: Performance and stability of a static decoder over 200 days., , and . EMBC, page 6719-6722. IEEE, (2012)Semi-supervised adaptation of upper-limb myoelectric pattern recognition prosthesis control through virtual gameplay., , and . NER, page 1-5. IEEE, (2023)Global classification of intentional movement across upper limb myoelectric pattern recognition-controlled prosthesis users., and . NER, page 1-5. IEEE, (2023)Long-term, stable behavior of local field potentials during brain machine interface use., , , and . EMBC, page 307-310. IEEE, (2013)Data sample size needed for prediction of movement distributions., , , and . EMBC, page 5780-5783. IEEE, (2014)Distributions in the error space: Goal-directed movements described in time and state-space representations., , , and . EMBC, page 6953-6956. IEEE, (2014)Energetics during robot-assisted training predicts recovery in stroke.. EMBC, page 2507-2510. IEEE, (2018)