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Performance of Combined Surface and Intramuscular EMG for Classification of Hand Movements.

, , , , , and . EMBC, page 5220-5223. IEEE, (2018)

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Simultaneous and Proportional Force Estimation in Multiple Degrees of Freedom From Intramuscular EMG., , , and . IEEE Trans. Biomed. Eng., 59 (7): 1804-1807 (2012)Unravelling Influence Factors in Pattern Recognition Myoelectric Control Systems: The Impact of Limb Positions and Electrode Shifts., , , and . Sensors, 24 (15): 4840 (August 2024)Sustainability and predictive accuracy evaluation of gel and embroidered electrodes for ECG monitoring., , , , , , , , and . Biomed. Signal Process. Control., (2024)Classification of hand and wrist tasks of unknown force levels using muscle synergies., , , and . EMBC, page 1663-1666. IEEE, (2015)Time-Frequency Distributions of Heart Sound Signals: A Comparative Study using Convolutional Neural Networks., , , , , , and . CoRR, (2022)Nonparametric Discriminant Projections for Improved Myoelectric Classification., , and . BIOSIGNALS, page 127-132. SciTePress, (2014)Analysis of ECG and PCG Time Delay around Auscultation Sites., , , and . BIOSIGNALS, page 206-213. SCITEPRESS, (2020)Phantom movements from physiologically inappropriate muscles: A case study with a high transhumeral amputee., , and . EMBC, page 3488-3491. IEEE, (2015)A novel approach for classification of hand movements using surface EMG signals., , , , and . ISSPIT, page 265-269. IEEE Computer Society, (2017)Biomedical Signal Compression With Optimized Wavelets., , , , and . ICASSP (2), page 1044-1047. IEEE, (2006)