Title :
Localized muscle fatigue in back muscles: static vs. dynamic contractions
Author :
Bonato, Paolo ; Roy, Serge H. ; Knaflitz, Marco ; De Luca, Carlo J.
Author_Institution :
Dept. of Electron., Politecnico di Torino, Italy
fDate :
30 Oct-2 Nov 1997
Abstract :
Over the past decade the analysis of the surface electromyographic (SEMG) signal has been shown effective in objectively quantifying paraspinal muscle impairments as a means of optimizing the delivery of low back pain (LBP) rehabilitation procedures. This approach to back impairment classification is based on indices of muscle fatigue derived from spectral estimates of the SEMG signal. A primary limitation to this technique is that the quantification procedure for spectral analysis assumes signal stationarity. This pre-condition can only be satisfied by recording the SEMG signal during isometric, constant-force contractions. This is a serious limitation to the technique since many dynamic activities are commonly associated with LBP injury. Fortunately, however, recent developments in the field of signal processing have produced methods of time-frequency (TF) analysis that are able to extract spectral information from nonstationary signals. Preliminary work has demonstrated that specific transforms belonging to the Cohen Class appear robust enough to derive spectral indices of fatigue from nonstationary SEMG signals recorded during cyclical dynamic contraction conditions. In this paper we present a procedure to measure localized muscle fatigue during dynamic contractions and we compare the results obtained during static vs. dynamic contractions of paraspinal muscles
Keywords :
biomechanics; electromyography; medical signal processing; signal representation; spectral analysis; time-frequency analysis; Cohen class transforms; Wigner-Ville transform; back impairment classification; back muscles; cyclic lifting; dynamic contractions; indices of muscle fatigue; localized muscle fatigue; low back pain rehabilitation procedure; nonstationary signals; paraspinal muscle impairments; signal modification; spectral estimates; static contractions; surface EMG signal; time-frequency analysis; Fatigue; Information analysis; Injuries; Life estimation; Muscles; Pain; Signal analysis; Signal processing; Spectral analysis; Time frequency analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.756604