Non-stationary Myoelectric Signals and Muscle Fatigue

D. MacIsaac; P. A. Parker; R. N. Scott

doi:10.1055/s-0038-1634281

Methods of Information in Medicine, Table of Contents

Methods Inf Med 2000; 39(02): 125-129
DOI: 10.1055/s-0038-1634281

Original Article

Schattauer GmbH

Non-stationary Myoelectric Signals and Muscle Fatigue

D. MacIsaac

¹Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada

,

P. A. Parker

¹Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada

,

R. N. Scott

¹Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada

› Author Affiliations

Abstract

Abstract:

A mathematical derivation for the mean frequency of a myoelectric signal (MES) is provided based on an amplitude modulation model for non-stationary MES. With this derivation, it is shown that mean frequency estimates of stationary and non-stationary myoelectric signals theoretically are not significantly different in a physiologically practical context. While this prediction is confirmed via a computer simulation, it is refuted with empirical evidence. Regardless, it is shown in a final study that mean frequency is capable of tracking a downward shift in the power spectrum with fatigue even in non-stationary myoelectric signals.

Keywords:

Myoelectric Signal - Non-stationary - Fatigue

Full Text

References

REFERENCES
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2 Stulen FB, De Luca CJ. Frequency parameters of the myoelectric signal as a measure of muscle conduction velocity. IEEE Transactions on Biomedical Engineering 1981; 28 (Suppl. 07) 515-23.