title: Non-stationary myoelectric signals and muscle fatigue.
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.
authors.affiliation: Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada. EEOffice@UNB.CA
authors.forename: D
authors.initials: D
authors.lastname: MacIsaac
authors.forename: P A
authors.initials: PA
authors.lastname: Parker
authors.forename: R N
authors.initials: RN
authors.lastname: Scott
mesh_terms: D000328:Adult; D003198:Computer Simulation; D004576:Electromyography; D006801:Humans; D008432:Mathematical Computing; D009119:Muscle Contraction / Q000502:physiology; D018763:Muscle Fatigue / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted