A software package for the decomposition of long-term multichannel EMG signals using wavelet coefficients

@article{Zennaro2003ASP,
  title={A software package for the decomposition of long-term multichannel EMG signals using wavelet coefficients},
  author={Daniel Zennaro and Peter Wellig and Volker M. Koch and George S. Moschytz and Thomas L{\"a}ubli},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2003},
  volume={50},
  pages={58-69}
}
This paper presents a method to decompose multichannel long-term intramuscular electromyogram (EMG) signals. In contrast to existing decomposition methods which only support short registration periods or single-channel recordings of signals of constant muscle effort, the decomposition software EMG-LODEC (ElectroMyoGram LOng-term DEComposition) is especially designed for multichannel long-term recordings of signals of slight muscle movements. A wavelet-based, hierarchical cluster analysis… CONTINUE READING
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References

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3 Excerpts

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