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A Comparison of Assessment Methods for Muscle Fatigue in Muscle Fatigue Contraction

  • Xinyu HuangEmail author
  • Qingsong Ai
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 455)

Abstract

Muscle fatigue often occurs in daily life and work. The assessment method of muscle fatigue based on the surface electromyography (sEMG) has been well reported in some comprehensive reviews. Recently, the time domain parameters, frequency domain parameters, discrete wavelet transform and non-linear methods have been widely used for the evaluation of muscle fatigue. In this paper, one fatigue indice was proposed: area ratio modified index (ARMI) was compared to seven assessment indices: root mean square (RMS), integrated electromyography (IEMG), mean power frequency (MPF), median frequency (MF), wavelet energy (WE), wavelet entropy (WEn) and Lemple–Ziv complexity (LZC). Ten healthy participants completed a fatigue experiment with isometric contraction of biceps brachii. It was showed that there was a significant positive rate of change of RMS, IEMG, WE and ARMI of sEMG, while a negative rate of change of MPF, MF and LZC of sEMG when fatigue occurred, and WEn of sEMG basically had no change. Meanwhile, the percentage deviation in ARMI was greater than the other seven indexes. It was proved that ARMI can be used as effective indicator and was more sensitive than the other seven indexes to evaluate the muscle fatigue.

Keywords

sEMG Muscle fatigue assessment Assessment indice ARMI 

Notes

Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 51475342).

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.School of Information EngineeringWuhan University of TechnologyWuhanChina

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