Author/Editor		Zazula, Damjan; Korošec, Dean; Šoštarič, Andrej
Title		Computer-assisted decomposition of the electromyograms
Type		članek
Source		In: Proceedings of the 11th IEEE symposium on computer-based medical systems; 1998 Jun 12-14; Lubbock, Texas. Los Alamitos: IEEE computer society,
Publication year		1998
Volume		str. 26-31
Language		eng
Abstract		The paper analyses the scope of multimodal parametric search (MPS) as the means for the decomposition of the electromyograms (EMGs). The approach is based on a predefined set of signal sources that are described by some parameters. These signal sources are searched for in a superimposed signal by calculation of the Euclidian distance and looking for its minimum. The signal sources are applied successively, according to the change of their parameters, and peeled off at the minimum Euclidian distance found. The minima detected are then displayed in parametric space as a parametric representation. We showed that such a technique is reliable enough for the decomposition of needle EMGs at low contraction forces. Applied to surface EMGs, it still discerns different phenomena, although not always with a direct relationship to the reality. It is because of the method's ambiguity, amplitude ratio dependency, and a bias in the distribution of the detected signal components. Finally, we introduce a novel approach based on the wavelet transform and using the elements of he parametric search. Applied to the EMGs, both give comparable decomposition results.
Descriptors		ELECTROMYOGRAPHY DIAGNOSIS, COMPUTER-ASSISTED