DocumentCode
2668008
Title
Multifractal characterization of the electromyogram signals in presence of fatigue
Author
Ehtiati, T. ; Kinsner, W. ; Moussavi, Z.K.
Author_Institution
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Volume
2
fYear
1998
fDate
24-28 May 1998
Firstpage
866
Abstract
This paper presents an investigation of the chaotic behaviour of the EMG signals originating from the trapezius and middle deltoid muscles during an isotonic and isometric contraction, using the variance, correlation, and Renyi fractal dimensions of these signals as promising alternatives to the currently used features for detecting fatigue. Experiments were performed on eight healthy subjects, using surface electrodes with two different test positions which were held to the limit of fatigue. The results of this study show an increase of the correlation dimension of the signal in fatigue and also specific and realizable pattern of variations in the spread of the Renyi dimensions. A single valued variance dimension trajectory of the signal has also been calculated which reveals a clear decrease of this variable in the presence of fatigue
Keywords
correlation methods; electromyography; entropy; fractals; medical signal processing; EMG signals; Renyi fractal dimensions; chaotic behaviour; correlation dimension; electromyogram signals; entropy; experiments; fatigue; healthy subjects; isometric contraction; isotonic contraction; middle deltoid muscles; multifractal characterization; surface electrodes; test positions; trapezius; variance dimension trajectory; Chaos; Computer vision; Electromyography; Entropy; Fatigue; Fractals; Frequency estimation; Muscles; Performance evaluation; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1998. IEEE Canadian Conference on
Conference_Location
Waterloo, Ont.
ISSN
0840-7789
Print_ISBN
0-7803-4314-X
Type
conf
DOI
10.1109/CCECE.1998.685635
Filename
685635
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