Wavelet analysis of surface electromyography signals

@article{Kilby2004WaveletAO,
  title={Wavelet analysis of surface electromyography signals},
  author={Jeff Kilby and H. Gholam Hosseini},
  journal={The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2004},
  volume={1},
  pages={384-387}
}
A number of digital signal processing (DSP) techniques are being applied to surface electromyography (SEMG) signals to extract detailed features of the signal. Fast Fourier transform (FFT) is one of the most common methods for analyzing the signal whether it is filtered or not. Another DSP technique is referred to as wavelet analysis, a method that is gaining more use in analyzing SEMG signals. This research focuses on using the discrete wavelet transform (DWT) and the wavelet package transform… CONTINUE READING
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