Effectiveness of the Wavelet Transform on the Surface EMG to Understand the Muscle Fatigue During Walk
By: M. Hussain and Md. Mamun
Open Access
|Mar 2012References
- Emley, M. S., Gilmore, L. D., Roy, S. H. (1992). Electromyography: Unlocking the secrets of back pain., 11 (2), 25-30.
- Broman, H., De Luca, C. J., Mambrito, B. (1985). Motor unit recruitment and firing rates interaction in the control of human muscles., 337, 311-319.
- Kaplanis, P. A., Pattichis, C. S., Hadjileontiadis, L. J., Panas S. M. (2000). Bispectral analysis of surface EMG. In, 29-31 May 2000. IEEE, Vol. 2, 770-773.
- Edwards, R. H. T. (1981). Human muscle function and fatigue. InWiley, 1-18.
- Phinyomark, A., Limsakul, C., Phukpattaranont, P. (2011). Application of wavelet analysis in EMG feature extraction for pattern classification., 11 (2), 45-52.
- Lindstrom, L., Kadefors, R., Petersen, I. (1977). An electromyographic index for localized muscle fatigue., 43, 750-754.
- Stulen, F. B., De Luca, C. J. (1981). Frequency parameters of myoelectric signal as a measure of muscle conduction velocity., 28 (7), 515-523.
- Diószeghy, P., Egerházi, A., Molnár, M., Mechler, F. (1996). Turn-amplitude analysis in neuromuscular diseases. Electromyogr., 36 (8), 463-8.
- Taku, O., Toshikazu, K., Yoshiki, O., Kookho, L., Yasuhiko, K., Shunzo, A., Fumihiko, N. (2002). Power spectrum analysis of compound muscle action potential in carpal tunnel syndrome patients., 10 (1), 67-71.
- Yana, K., Mizuta, H., Kajiyama, R. (1995). Surface electromyogram recruitment analysis using higher order spectrum. In, 20-23 Sept. 1995. IEEE, Vol. 2, 1345-1346.
- Hussain, M. S., Reaz, M. B. I., Yasin, F. M., Ibrahimy, M. I. (2009). Electromyography signal analysis using wavelet transform and higher order statistics to determine muscle contraction., 26 (1), 35-48.
- Shahid, S., Walker, J., Lyons, G. M., Byrne, C. A., Nene, A. V. (2005). Application of higher order statistics techniques to EMG signals to characterize the motor unit action potential.52 (7), 1195-1209.
- Reaz, M. B. I., Hussain, M. S., Yasin, F. M. (2006). Techniques of EMG signal analysis: Detection, processing, classification and applications., 8 (1), 11-35.
- Kumar, D. K., Pah, N. D., Bradley, A. (2003). Wavelet analysis of surface electromyography to determine muscle fatigue., 11 (4), 400-406.
- Walker, J. (1999).Chapman & Hall.
- Nikias, C. L., Petropulu, A. P. (1993).Prentice Hall.
- Hinich, M. J. (1982). Testing for gaussianity and linearity of a stationary time series., 3 (3), 169-176.
- Fackrell, J. W. A. (1996).PhD Thesis, University of Edinburgh.
- Nikias, C. L., Raghuveer, M. R. (1987). Bispectrum estimation: A digital signal processing framework., 75 (7), 869-891.
- Elgar, S., Guza, R. T. (1988). Statistics of bicoherence., 36 (10), 1667-1668.
- Motion Lab Systems, Inc.
- Hermens, H. J., Bruggen, T. V. (1988). Simulation of fatigue related changes in spectral parameters of surface EMG. In, 4-7 Nov. 1988. IEEE, Vol. 4, 1706-1707.
- Hagberg, M., Ericson, B. E. (1982). Myoelectric power spectrum dependence of muscular contraction level of elbow flexors., 48 (2), 147-156.
- Moritani, T., Nagata, A., Muro, M. (1982). Electromyographic manifestations of muscular fatigue., 14, 198-202.
DOI: https://doi.org/10.2478/v10048-012-0005-x | Journal eISSN: 1335-8871
Language: English
Page range: 28 - 33
Published on: Mar 1, 2012
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
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© 2012 M. Hussain, Md. Mamun, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons License.