DocumentCode :
3650044
Title :
Parametric modelling of EMG signals
Author :
D. Korosec;C. Martinez;D. Zazula
Author_Institution :
Fac. of Electr. Eng. & Comput. Sci., Maribor, Slovenia
Volume :
4
fYear :
1996
Firstpage :
1470
Abstract :
Proposes a parametric description of electromyographic signals, based on a simplified line source model for generation of single muscle fiber action potentials. Signals are assumed to be a superposition of such components described with two parameters, called depth and delay. The authors further describe a decomposition technique, in fact a parameter searching procedure, which enables a compact presentation of needle as well as surface electromyograms. The presented model can be used for generation of synthetic signals on which the authors´ decomposition was tested first. Results on real needle and surface EMGs have shown that the model is appropriate for both types of signals and the decomposition technique has proven itself as an efficient tool in evaluation of such signals in the sense of a set model.
Keywords :
"Parametric statistics","Electromyography","Muscles","Electrodes","Needles","Low pass filters","Signal generators","Testing","Computer science","Computer graphics"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Print_ISBN :
0-7803-3811-1
Type :
conf
DOI :
10.1109/IEMBS.1996.647509
Filename :
647509
Link To Document :
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