EMG signal decomposition: how can it be accomplished and used?

  title={EMG signal decomposition: how can it be accomplished and used?},
  author={Daniel W. Stashuk},
  journal={Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology},
  volume={11 3},
Electromyographic (EMG) signals are composed of the superposition of the activity of individual motor units. Techniques exist for the decomposition of an EMG signal into its constituent components. Following is a review and explanation of the techniques that have been used to decompose EMG signals. Before describing the decomposition techniques, the fundamental composition of EMG signals is explained and after, potential sources of information from and various uses of decomposed EMG signals are… CONTINUE READING
Highly Cited
This paper has 572 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.


Publications citing this paper.
Showing 1-10 of 113 extracted citations

Characterization of Human Motor Units From Surface EMG Decomposition

Proceedings of the IEEE • 2016
View 20 Excerpts
Highly Influenced

EMGTools, an Adaptive and Versatile Tool for Detailed EMG Analysis

IEEE Transactions on Biomedical Engineering • 2011
View 4 Excerpts
Highly Influenced

Decomposition of MES using wavelet transform and support vector machine

2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010) • 2010
View 5 Excerpts
Highly Influenced

A Novel Validation Approach for High-Density Surface EMG Decomposition in Motor Neuron Disease

IEEE Transactions on Neural Systems and Rehabilitation Engineering • 2018
View 1 Excerpt

572 Citations

Citations per Year
Semantic Scholar estimates that this publication has 572 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…