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Decomposition of intramuscular EMG signals using a knowledge -based certainty classifier algorithm.

, , and . EMBC, page 6208-6211. IEEE, (2012)

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Diversity-based combination of non-parametric classifiers for EMG signal decomposition., , and . Pattern Anal. Appl., 11 (3-4): 385-408 (2008)Discovering Density-Based Clustering Structures Using Neighborhood Distance Entropy Consistency., and . IEEE Trans. Comput. Soc. Syst., 7 (4): 1069-1080 (2020)Affine and Regional Dynamic Time Warpng., , and . CoRR, (2015)Automatic jitter measurement in needle-detected motor unit potential trains., , , , , , and . Comput. Biol. Medicine, (2022)A Hybrid Classifier Fusion Approach for Motor Unit Potential Classification During EMG Signal Decomposition., , and . IEEE Trans. Biomed. Eng., 54 (9): 1715-1721 (2007)Muscle Categorization Using Quantitative Needle Electromyography: A 2-Stage Gaussian Mixture Model Based Approach., , , and . ICMLA (1), page 548-553. IEEE, (2012)Detecting neuropathy using measures of motor unit activation extracted from standard concentric needle electromyographic signals., , and . EMBC, page 4066-4070. IEEE, (2014)Multi-classification techniques applied to EMG signal decomposition., , and . SMC (2), page 1226-1231. IEEE, (2004)Multifunction myoelectric control using multi-dimensional dynamic time warping., , and . EMBC, page 4366-4369. IEEE, (2014)Muscle categorization using PDF estimation and Naive Bayes classification., , and . EMBC, page 2619-2622. IEEE, (2012)