A Decomposition Software Package for the Decomposition of Long-Term Multi-Channel Electromyographic Signals

Abstract

The analysis of intramuscular EMC 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 EMC- LODEC (EkctroMyoGram 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 EMC signals, our software is capable of providing reliable decompositions with satisfying accuracy EMC-LODEC is suitable for the study of motor-unit discharge patterns and recruitment order in healthy subjects and patients.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA409754

Entities

People

  • D. Zennaro
  • G. S. Moschytz
  • H. Krueger
  • P. Wellig
  • T. Laubli

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Classification
  • Clustering
  • Coefficients
  • Decomposition
  • Electrodes
  • Frequency
  • Frequency Bands
  • Information Processing
  • Machine Learning
  • Measurement
  • Muscles
  • Musculoskeletal Physiology
  • Noise
  • Recognition
  • Supervised Machine Learning

Fields of Study

  • Computer science
  • Engineering

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Linear Algebra