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Assessment of average muscle fiber conduction velocity from surface EMG signals during fatiguing dynamic contractions., , , , and . IEEE Trans. Biomed. Eng., 51 (8): 1383-1393 (2004)Robust Real-Time Musculoskeletal Modeling Driven by Electromyograms., , and . IEEE Trans. Biomed. Eng., 65 (3): 556-564 (2018)Estimation of M-wave scale factor during sustained contractions at high stimulation rate., and . IEEE Trans. Biomed. Eng., 52 (5): 869-877 (2005)Compression of Multidimensional Biomedical Signals With Spatial and Temporal Codebook-Excited Linear Prediction., , , and . IEEE Trans. Biomed. Eng., 56 (11): 2604-2610 (2009)A novel approach for estimating muscle fiber conduction velocity by spatial and temporal filtering of surface EMG signals., and . IEEE Trans. Biomed. Eng., 50 (12): 1340-1351 (2003)A model for surface EMG generation in volume conductors with spherical inhomogeneities., and . IEEE Trans. Biomed. Eng., 52 (12): 1984-1993 (2005)Movement-Related Cortical Potentials Allow Discrimination of Rate of Torque Development in Imaginary Isometric Plantar Flexion., and . IEEE Trans. Biomed. Eng., 55 (11): 2675-2678 (2008)Identification of movement-related cortical potentials with optimized spatial filtering and principal component analysis., , , , and . Biomed. Signal Process. Control., 3 (4): 300-304 (2008)The Interaction Between Feedback Type and Learning in Routine Grasping With Myoelectric Prostheses., , , , and . IEEE Trans. Haptics, 13 (3): 645-654 (2020)Mapping Intrinsic and Extrinsic Muscle Myoelectric Activity During Natural Dynamic Movements Into Finger and Wrist Kinematics Using Deep Learning Prediction Models., , , and . IEEE Trans. Hum. Mach. Syst., 53 (5): 924-934 (October 2023)