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Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy.

, , , and . PLoS Comput. Biol., (December 2023)

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Human-Machine Interfacing by Decoding the Surface Electromyogram Life Sciences., and . IEEE Signal Process. Mag., 32 (1): 115-120 (2015)Longitudinal high-density EMG classification: Case study in a glenohumeral TMR subject., , , , , , and . ICORR, page 1-6. IEEE, (2017)A new generation of double-sided intramuscular electrodes for multi-channel recording and stimulation., , , , , , and . EMBC, page 7135-7138. IEEE, (2015)Multi-channel surface EMG classification using support vector machines and signal-based wavelet optimization., , , , and . Biomed. Signal Process. Control., 3 (2): 169-174 (2008)An Effective Classification Framework for Brain-Computer Interfacing Based on a Combinatoric Setting., and . IEEE Trans. Signal Process., 60 (3): 1446-1459 (2012)ACELP-Based Compression of Multi-Channel Surface EMG Signals., , , and . ICASSP (2), page 361-364. IEEE, (2007)A predictive model of muscle excitations based on muscle modularity for a large repertoire of human locomotion conditions., , , , , and . Frontiers Comput. Neurosci., (2015)An Online Spectral Information-Enhanced Approach for Artifact Detection and Fault Attentuation in Myoelectric Control., , and . ICORR, page 671-675. IEEE, (2019)Can Multi-DoF Training Improve Robustness of Muscle Synergy Inspired Myocontrollers?, , and . ICORR, page 665-670. IEEE, (2019)Signal-dependent wavelets for electromyogram classification., , , and . Medical Biol. Eng. Comput., 45 (8): 807 (2007)