Surface EMG Decomposition Using a Novel Approach for Blind Source Separation
نویسندگان
چکیده
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. Author’s institution: Faculty of Electrical Engineering and Computer Science, University of Maribor. Contact person: Aleš Holobar, Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova 17, 2000 Maribor. email: [email protected]. Infor Med Slov 2003; 8(1): 2-14 Informatica Medica Slovenica 2003; 8(1) 3
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