Aleš Holobar (Author), Damjan Zazula (Author)

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

slepa ločitev izvorov;dekonvolucija;površinska EMG dekompozicija;blind source separation;deconvolution;surface EMG decomposition;

Data

Language: English
Year of publishing:
Typology: 1.04 - Professional Article
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
UDC: 621.391:004
COBISS: 8264470 Link will open in a new window
ISSN: 1318-2129
Views: 2070
Downloads: 38
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Other data

Secondary language: English
Secondary keywords: slepa ločitev izvorov;dekonvolucija;površinska EMG dekompozicija;
URN: URN:SI:UM:
Pages: str. 2-14
Volume: 8
Issue: 1
Chronology: 2003
ID: 8718859