title: Wavelet-based intensity analysis of mechanomyographic signals during single-legged stance following fatigue.
abstract: The von Tscharner (2000) "intensity analysis" describes the power of a non-stationary signal as a function of both frequency and time. The present study applied a version of this intensity analysis that utilizes Morlet wavelets as a means of gaining insight into the application of this technique as alternative to power spectral analysis for the evaluation of postural control strategy during the single-legged stance and to examine the effects of fatigue. Ten subjects (gender balanced, age: 25±3 years; height: 169.4±11.7 cm; weight: 79.0±16.9 kg) participated in two trials consisting of five 15-s dominant-leg stances. Three-uniaxial accelerometers were fixed to the surface of the dominant leg corresponding to VM, VL, SOL, and MMG was recorded at a sampling rate of 1000 Hz. Signals were later analyzed using a variation of the von Tscharner intensity analysis consisting of a filter bank of 11 Morlet wavelets (range: 2.1-131.1Hz). Two Wingate anaerobic tests (WAnT) separated by a 2-min rest were performed to introduce fatigue. Repeated measures ANOVAs showed significant effects for time, gender, trial, and wavelet (p<0.001) and significant interactions for muscle by wavelet, gender by trial, trial by wavelet, and gender by trial by wavelet (p<0.001). Peak total MMG intensity (mean±SD) was higher in males than females and higher following fatiguing exercise preWAnT (squared ms(-2)): 42.6±4.5 vs. 19.2±2.3; postWAnT (squared ms(-2)): 90.4±9.1 vs. 28.4±2.8. Peak total MMG intensity was compressed to the lower frequencies surrounding ∼12 Hz, corresponding to what might be considered physiologic tremor, and a lower peak at ∼42 Hz was most prominent in SOL. The intensity analysis is a useful tool in exploring postural control and in studying the effects of fatigue on the mechanical properties of skeletal muscle.
authors.affiliation: Western Oregon University, Division of Health and Physical Education, Monmouth, OR 97361, United States. armstroj@wou.edu
authors.forename: W Jeffrey
authors.initials: WJ
authors.lastname: Armstrong
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D005260:Female; D006801:Humans; D035002:Lower Extremity / Q000502:physiology*; D008297:Male; D018763:Muscle Fatigue / Q000502:physiology*; D009213:Myography; D004856:Postural Balance / Q000502:physiology*; D012737:Sex Factors; D012815:Signal Processing, Computer-Assisted