DocumentCode :
2722566
Title :
Nonlinear analysis of EMG signals - a chaotic approach
Author :
Padmanabhan, Pavitra ; Puthusserypady, Sadasivan
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Volume :
1
fYear :
2004
fDate :
1-5 Sept. 2004
Firstpage :
608
Lastpage :
611
Abstract :
This paper aims to present a systematic characterisation of the electromyogram (EMG) signal using a nonlinear chaotic approach. EMG signals from 10 muscles in the leg during walking and maximum voluntary contraction (MVC) were obtained and pre-processed using wavelet based denoising techniques. All signals were tested for non-linearity, stationarity and determinism. Chaotic characterization was done by calculating invariants such as correlation dimension (D2), Lyapunov spectrum (λ1) and Kaplan-Yorke dimension (DKY). The EMG signals were non-linear and short-term stationary. Determinism and structure was found in the phase-space by studying the recurrence plots. Based on the values of the chaotic invariants, EMG signals were found to exhibit signs of chaotic behaviour with a dimension between 2 and 3 for walking and 3 and 4 for MVC data.
Keywords :
Lyapunov methods; chaos; correlation methods; electromyography; medical signal processing; phase space methods; signal denoising; EMG signals; Kaplan-Yorke dimension; Lyapunov spectrum; chaotic approach; correlation dimension; electromyogram; leg muscles; maximum voluntary contraction; nonlinear analysis; nonlinear chaotic; phase-space methods; walking; wavelet based denoising techniques; Chaos; Electromyography; Muscles; Noise reduction; Qualifications; Signal analysis; Signal generators; Statistical analysis; Statistical distributions; Testing; Chaotic dynamics; Correlation Dimension; EMG; Kaplan-Yorke Dimension; Lyapunov Exponents;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
Type :
conf
DOI :
10.1109/IEMBS.2004.1403231
Filename :
1403231
Link To Document :
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