Abstract
The electromyographic (EMG) signal observed at the surface of the skin is the sum of thousands of small potentials generated in the muscle fiber. There are many approaches to analyzing EMG signals with spectral techniques. In this study, the short time Fourier Transform (STFT) and wavelet transform (WT) were applied to EMG signals and coefficients were obtained. In these studies, MATLAB 7.01 program was used. According to obtained results, it was determined that WT is more useful than STFT in the fields of eliminating of resolution problem and providing of changeable resolution during analyze.
Similar content being viewed by others
References
Qingju, Z., and Luo, Z., Wavelet de-noising of electromyography. Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation. 25:1553–1558, 2006.
Koçyiğit, Y., Korürek, M. (2003). EMG signal classification using wavelet transform and fuzzy clustering algorithms. Proc. of ELECO'2003, Bursa, Turkey, 381–383.
Goswami, J., and Chan, A., Fundamentals of wavelets. Wiley, New York, 1999.
Kıymık, M., Güler, İ., Dizibüyük, A., and Akın, M., Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application. Comput. Biol. Med. 35:603–616, 2005. doi:10.1016/j.compbiomed.2004.05.001.
Proakis, J., and Manolakis, D., Digital signal processing. Prentice-Hall, Englewood Cliffs, NJ, 1996.
Akin, M., Kiymik, M.K., Arserim, M.A., Turkoglu, I. (2000). Separation of brain signals using FFT and neural networks. Proc. of Biyomut 2000, Istanbul, Turkey, 161–164.
Salvador, J., and Bruin, H., The use of the wavelet transform in EMG M-wave pattern classification. Proc. IEEE Eng. Med. Biol. Soc. 1:2304–2307, 2006.
Ren, X., Yan, Z., Wang, Z., and Hu, X., Noise reduction based on ICA decomposition and wavelet transform for the extraction of motor unit action potentials. J. Neurosci. Methods. 158:313–322, 2006. doi:10.1016/j.jneumeth.2006.06.005.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Canal, M.R. Comparison of Wavelet and Short Time Fourier Transform Methods in the Analysis of EMG Signals. J Med Syst 34, 91–94 (2010). https://doi.org/10.1007/s10916-008-9219-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10916-008-9219-8