ESTIMATION OF INTRAMUSCULAR EMG SIGNALS FROM SURFACE EMG SIGNAL ANALYSIS.

Yitong Zhou, Rama Chellappa, George Bekey

Research output: Contribution to journalConference articlepeer-review

Abstract

The authors present a method for the estimation of intramuscular electromyographic (EMG) signals from the given surface EMG signals. This method is based on representing the surface EMG signal as an autoregressive (AR) time-series model with a delayed intramuscular EMG signal as an input. Assuming that prototypes of intramuscular and surface EMG signals are available, the parameters of the time series model that transforms the intramuscular signal of the surface signal are identified. The identified model is then used in estimating the intramuscular signal from the surface signal. This method is illustrated using real EMG waveforms.

Original languageEnglish (US)
Pages (from-to)1805-1808
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - 1986
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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