440 KB35 KB200220242003Holobar, AlešZazula, Damjanštevilka:1letnik:8str. 2-14ISSN:1318-2129COBISSID:8264470URN:URN:NBN:SI:doc-Y36VDPTIenSlovensko društvo za medicinsko informatikoInformatica Medica SlovenicaelektromiografijaelektronikafiziologijamišiceSurface EMG decomposition using a novel approach for blind source separation|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 unitTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaSlovensko društvo za medicinsko informatiko