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

Research output: Contribution to journalConference articlepeer-review

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 languageEnglish
Pages (from-to)1070-1073
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
StatePublished - 2001
Externally publishedYes
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: 25 Oct 200128 Oct 2001

Fingerprint

Dive into the research topics of 'A decomposition software package for the decomposition of long-term multi-channel electromyographic signals'. Together they form a unique fingerprint.

Cite this