Local muscle endurance is associated with fatigue-based changes in electromyographic spectral properties, but not with conduction velocity.
The purpose of this study was to examine the associations amongst muscle fiber action potential conduction velocity (CV), spectral characteristics of the surface electromyographic (EMG) signal, and endurance time during a sustained submaximal isometric muscle action. Eleven men (mean±SD age=23±4yrs) performed a sustained, submaximal isometric muscle action of the dominant forearm flexors at 60% of the maximum voluntary contraction (MVC) until the designated force level could no longer be maintained. Sixteen separate bipolar surface EMG signals were detected from the biceps brachii with a linear electrode array during this contraction. Two channels from this array were used to measure CV, and one of these two channels was used for further EMG signal processing. The channels that provided the highest signal quality were used for the CV measurements and further data analysis. A wavelet analysis was then used to analyze the bipolar EMG signal, and the resulting wavelet spectrum was decomposed with a nonparametric spectral decomposition procedure. The results showed that the time to exhaustion during the sustained contraction was not correlated with the rate of decrease in CV, but it was highly correlated with both the decrease in high-frequency spectral power (r=0.947) and the increase in low-frequency spectral power (r=0.960). These findings are particularly interesting, considering that the decrease in traditional EMG spectral variables (e.g., mean frequency or median frequency) with fatigue is generally attributed to reductions in CV. While this may indeed be true, the present results suggested that other factors (i.e., other than CV) that can affect the shape of the EMG frequency spectrum during fatigue are more important in determining the endurance capabilities of the muscle than is CV.
Biophysics Laboratory, University of Oklahoma, Department of Health and Exercise Science, 110 Huston Huffman Center, Norman, OK 73019-6081, United States. Electronic address: tbeck@ou.edu.
Travis W
TW
Beck
Biophysics Laboratory, University of Oklahoma, Department of Health and Exercise Science, 110 Huston Huffman Center, Norman, OK 73019-6081, United States.
Xin
X
Ye
Biophysics Laboratory, University of Oklahoma, Department of Health and Exercise Science, 110 Huston Huffman Center, Norman, OK 73019-6081, United States.
Nathan P
NP
Wages
D000328:Adult; D004576:Electromyography / Q000379:methods*; D006801:Humans; D007537:Isometric Contraction / Q000502:physiology*; D008297:Male; D018763:Muscle Fatigue / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D009431:Neural Conduction / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult
Conduction velocity; Electromyography; Fatigue; Spectra; Wavelet