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Surface EMG decomposition using a novel approach for blind source separation
Aleš Holobar, Damjan Zazula, 2003, professional article

Abstract: We introduce a new method to perform a blind deconvolution of the surface electromyogram (EMG) signals generated by isometric muscle contractions. The method extracts the information from the raw EMG signals detected only on the skin surface, enabling longtime noninvasive monitoring of the electromuscular properties. Its preliminary results show that surface EMG signals can be used to determine the number of active motor units, the motor unit firing rate and the shape of the average action potential in each motor unit.
Keywords: blind source separation, deconvolution, surface EMG decomposition
Published: 01.06.2012; Views: 1841; Downloads: 30
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