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Background Electromyographic (EMG) signals obtained from a contracted muscle contain valuable information on its activity and health status. Much of this information lies in motor unit potentials (MUPs) of its motor units (MUs), collected during the muscle contraction. Hence, accurate estimation of a MUP template for each MU is crucial. Objective To investigate the possibility of improving MUP template estimation using the wavelet denoising technique. Material and Methods In this analytical study, several MUP template estimators were d
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