A decomposition software package for the decomposition of long-term multi-channel electromyographic signals

D. Zennaro; P. Wellig; G. S. Moschytz; T. Läubli; H. Krueger

A decomposition software package for the decomposition of long-term multi-channel electromyographic signals

D. Zennaro, P. Wellig, G. S. Moschytz, T. Läubli, H. Krueger

Swiss Federal Institute of Technology Zurich

Research output: Contribution to journal › Conference article › peer-review

9 Scopus citations

Abstract

The analysis of intramuscular EMG signals is based on the decomposition of the signals into basic units. Existing decomposition software only supports short registration periods or single-channel recordings of signals of constant muscle effort. In this paper, we present the decomposition software EMG-LODEC (ElectroMyoGram LOng-term DEComposition) that is especially designed for multi-channel long-term recordings of signals of slight muscle movements. Based on experiments on simulated and recorded EMG signals, our software is capable of providing reliable decompositions with satisfying accuracy. EMG-LODEC is suitable for the study of motor-unit discharge patterns and recruitment order in healthy subjects and patients.

Original language	English
Pages (from-to)	1070-1073
Number of pages	4
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	2
State	Published - 2001
Externally published	Yes
Event	23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey Duration: 25 Oct 2001 → 28 Oct 2001

Cite this

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abstract = "The analysis of intramuscular EMG signals is based on the decomposition of the signals into basic units. Existing decomposition software only supports short registration periods or single-channel recordings of signals of constant muscle effort. In this paper, we present the decomposition software EMG-LODEC (ElectroMyoGram LOng-term DEComposition) that is especially designed for multi-channel long-term recordings of signals of slight muscle movements. Based on experiments on simulated and recorded EMG signals, our software is capable of providing reliable decompositions with satisfying accuracy. EMG-LODEC is suitable for the study of motor-unit discharge patterns and recruitment order in healthy subjects and patients.",

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AU - Wellig, P.

AU - Moschytz, G. S.

AU - Läubli, T.

AU - Krueger, H.

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AB - The analysis of intramuscular EMG signals is based on the decomposition of the signals into basic units. Existing decomposition software only supports short registration periods or single-channel recordings of signals of constant muscle effort. In this paper, we present the decomposition software EMG-LODEC (ElectroMyoGram LOng-term DEComposition) that is especially designed for multi-channel long-term recordings of signals of slight muscle movements. Based on experiments on simulated and recorded EMG signals, our software is capable of providing reliable decompositions with satisfying accuracy. EMG-LODEC is suitable for the study of motor-unit discharge patterns and recruitment order in healthy subjects and patients.

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JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

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T2 - 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 25 October 2001 through 28 October 2001

ER -

A decomposition software package for the decomposition of long-term multi-channel electromyographic signals

Abstract

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