›› 2014, Vol. 40 ›› Issue (1): 63-67.
• SPORTS SCIENCE OF HUMAN BODY • Previous Articles Next Articles
XU Shu-li, et al
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Abstract: The aim of the study is to research the characteristics of surface EMG signals, the corresponding intensity vibration, MPFs absolute value, change rates of ApEn. The fractal dimensions are smaller than the traditional ones and the time of the fatigue exhaustion is significantly later than the traditional ones with both having significant differences. Conclusion: One time training with appropriate intensity standing vibration leads the fatigue to appear more slowly than that of traditional training, the standing vibration is the effective training new ideas with small level of fatigue.
Key words: the standing vibration, mean power frequency, approximate entropy, fractal dimension, fatigue progress
CLC Number:
G804.23
XU Shu-li, et al. Characteristics of Surface Electromyography Signals on the Standing Vibration in Young Male Athletes during the Muscle Fatigue Process[J]. , 2014, 40(1): 63-67.
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