Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/84012
Title: Nonlinear analysis of EMG signals - A chaotic approach
Authors: Padmanabhan, P.
Puthusserypady, S. 
Keywords: Chaotic dynamics
Correlation Dimension
EMG
Kaplan-Yorke Dimension
Lyapunov Exponents
Issue Date: 2004
Source: Padmanabhan, P.,Puthusserypady, S. (2004). Nonlinear analysis of EMG signals - A chaotic approach. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings 26 I : 608-611. ScholarBank@NUS Repository.
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 (D 2), Lyapunov spectrum (λ i) and Kaplan-Yorke dimension (D KY). 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.
Source Title: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/84012
ISSN: 05891019
Appears in Collections:Staff Publications

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