A new approach for multi-channel surface EMG signal simulation

Yong Ning, Yingchun Zhang

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Simulation models are necessary for testing the performance of newly developed approaches before they can be applied to interpreting experimental data, especially when biomedical signals such as surface electromyogram (SEMG) signals are involved. A new and easily implementable surface EMG simulation model was developed in this study to simulate multi-channel SEMG signals. A single fiber action potential (SFAP) is represented by the sum of three Gaussian functions. SFAP waveforms can be modified by adjusting the amplitude and bandwidth of the Gaussian functions. SEMG signals were successfully simulated at different detected locations. Effects of the fiber depth, electrode position and conduction velocity of SFAP on motor unit action potential (MUAP) were illustrated. Results demonstrate that the easily implementable SEMG simulation approach developed in this study can be used to effectively simulate SEMG signals.

Original languageEnglish (US)
Pages (from-to)45-53
Number of pages9
JournalBiomedical Engineering Letters
Volume7
Issue number1
DOIs
StatePublished - Feb 1 2017

Keywords

  • Conduction velocity
  • Gaussian function
  • Motor unit action potential (MUAP)
  • Single fiber action potential (SFAP)
  • Surface electromyogram (SEMG)

ASJC Scopus subject areas

  • Biomedical Engineering

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