Decomposition of electromyogram long-term recordings
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In order to find the mechanisms responsible for the development of chronic neck pain caused by repetitive finger or arm movements, the long-term activation of motor units need to be studied. This requires intramuscular EMG long-term recordings. However, existing electromyogram (EMG signal) decomposition algorithms are restricted to short registration periods. In this paper, we present a decomposition algorithm capable of decomposing long-term recordings using discriminant time-frequency atoms.
[1] G. S. Moschytz,et al. Classification of time-varying signals using time-frequency atoms , 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.
[2] G. S. Moschytz,et al. Electromyogram decomposition using the single-lineage clustering algorithm and wavelets , 1999, ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357).