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
1  Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada
,
P. A. Parker
1  Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada
,
R. N. Scott
1  Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada
› Author Affiliations
Further Information

Publication History

Publication Date:
07 February 2018 (online)

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.