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A characterization of the effect of limb position on EMG features to guide the development of effective prosthetic control schemes.

, , and . EMBC, page 662-667. IEEE, (2014)

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Multiexpert automatic speech recognition using acoustic and myoelectric signals., , , and . IEEE Trans. Biomed. Engineering, 53 (4): 676-685 (2006)A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses., , , and . IEEE Trans. Biomed. Engineering, 52 (11): 1801-1811 (2005)A Comparison of Surface and Intramuscular Myoelectric Signal Classification., , and . IEEE Trans. Biomed. Engineering, 54 (5): 847-853 (2007)Optimized control mapping through user-tuned cost of effort, time, and reliability*., , and . ICORR, page 837-842. IEEE, (2019)Improving myoelectric pattern recognition positional robustness using advanced training protocols., , and . EMBC, page 4828-4831. IEEE, (2011)A characterization of the effect of limb position on EMG features to guide the development of effective prosthetic control schemes., , and . EMBC, page 662-667. IEEE, (2014)Combined surface and intramuscular EMG for improved real-time myoelectric control performance., , and . Biomed. Signal Proc. and Control, (2014)Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal., , and . IEEE Trans. Biomed. Engineering, 56 (4): 1070-1080 (2009)Continuous Locomotion-Mode Identification for Prosthetic Legs Based on Neuromuscular-Mechanical Fusion., , , , , and . IEEE Trans. Biomed. Engineering, 58 (10): 2867-2875 (2011)A robust, real-time control scheme for multifunction myoelectric control., and . IEEE Trans. Biomed. Engineering, 50 (7): 848-854 (2003)