MUAP Classification Based on Wavelet Packet and Fuzzy Clustering Technique

@article{Ren2009MUAPCB,
  title={MUAP Classification Based on Wavelet Packet and Fuzzy Clustering Technique},
  author={Xiaomei Ren and Hua Huang and Lihua Deng},
  journal={2009 3rd International Conference on Bioinformatics and Biomedical Engineering},
  year={2009},
  pages={1-4}
}
The present study compares several methods with regard to feature extraction and classification of motor unit action potentials (MUAPs) for electromyography (EMG) signal decomposition. The technique was applied to single-channel, short-period real myoelectric signals from normal subjects and artificially generated EMG recordings. All the real EMG recordings were made from the biceps brachii of healthy subjects during voluntary contraction at different force. A model, based on the phenomenon of… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 11 references

A two-stage method for MUAP classification based on EMG decomposition

Katsis, C.D
Computers in Biology and Medicine, • 2007
View 2 Excerpts

Methods for robust clustering of epileptic EEG spikes

IEEE Transactions on Biomedical Engineering • 2000
View 1 Excerpt

Decomposition of multiunit electromyographic signals

IEEE Transactions on Biomedical Engineering • 1999
View 3 Excerpts

Electromyogram decomposition using the single-linkage clustering algorithm and wavelets

P. Wellig, G. Moschytz
Proceedings of the 6th IEEE International Conference on Electronics, Circuits, and Systems • 1999
View 1 Excerpt

Unsupervised pattern recognition for the classification of EMG signals

IEEE Transactions on Biomedical Engineering • 1999
View 3 Excerpts

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