A Comparative Study of Wavelet Denoising of Surface Electromyographic Signals

@article{Jiang2007ACS,
  title={A Comparative Study of Wavelet Denoising of Surface Electromyographic Signals},
  author={Ching-Fen Jiang and Shou-Long Kuo},
  journal={2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2007},
  pages={1868-1871}
}
This study intends to explore the wavelet denoising for optimal MUAP detection through the wavelet analysis of surface electromyographic (SEMG) signals. We first derive an estimator for signal to noise ratio and show that this estimator correlates to the quality of the reconstructed simulated signal. When applying this estimator to evaluate the SEMG signal, we find that the reconstructed signal is insensitive to the selection of denoising methods. This finding is further confirmed by the… CONTINUE READING
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