Estimation of the number of motor unit action potentials in the surface electromyogram

Ping Zhou, William Z Rymer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

The number of motor unit action potentials (MUAP) appearing in the surface electromyogram (EMG) offers potentially valuable information about both motor unit recruitment and firing rates. In this paper, we seek to evaluate several different surface EMG processing parameters to estimate the number of MUAPs present in standard surface EMG records. Based on the morphological features of surface MUAPs, a series of surface EMG signals were simulated. The relationships between the number of MUAPs in the simulated surface EMG and the different kinds of surface EMG processing parameters were derived to evaluate their performance for MUAP number estimation. The results indicate that the parameters based on turns, spikes or zero-crossings counting are suitable for MUAP number estimation.

Original languageEnglish (US)
Title of host publicationConference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering
PublisherIEEE Computer Society
Pages372-375
Number of pages4
Volume2003-January
ISBN (Electronic)0780375793
DOIs
StatePublished - Jan 1 2003
Event1st International IEEE EMBS Conference on Neural Engineering - Capri Island, Italy
Duration: Mar 20 2003Mar 22 2003

Other

Other1st International IEEE EMBS Conference on Neural Engineering
CountryItaly
CityCapri Island
Period3/20/033/22/03

Keywords

  • Dispersion
  • Electrodes
  • Electromyography
  • Fault detection
  • Gaussian distribution
  • Muscles
  • Recruitment
  • Surface discharges
  • Surface morphology
  • Surface waves

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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