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M.B.I.R.); firstname.lastname@example.org (M.A.B.M.A.); email@example.com (A.A.A.B.); firstname.lastname@example.org (K.C.) Abstract: Electromyography (EMG) signals are becoming increasingly important in many applications, including clinical/biomedical, prosthesis or rehabilitation devices, human machine interactions, and more. However, noisy EMG signals are the major hurdles to be overcome in order to achieve improved performance in the above applications. Detection, processing and classification analysis indoi:10.3390/s130912431 pmid:24048337 pmcid:PMC3821366 fatcat:dpmex65sbfgsljq5edqn3qzmki