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Estimation Method of Muscle Fatigue and Recovery Progress Using a Muscular Fatigue Model

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Advances in Physical Ergonomics and Human Factors

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 489))

Abstract

This study investigated a mechanism of muscle fatigue and proposed a muscular fatigue model to evaluate muscle fatigue progress under several muscular force patterns. Previous studies have already proposed a muscular fatigue model. However, these previous studies discussed about the condition of the maximum voluntary contraction. The new point of this study is considering several muscular force patterns including muscle recovery progress. This study proposed the method to estimate the endurance time for keeping constant forces considering the physical characteristics. This study also proposed the method to estimate the iteration numbers for keeping constant forces with interval. To validate the effectiveness of the proposed method, experimental verifications were conducted. The experimental results had a good agreement with the evaluation of muscle fatigue progress using the proposed method. The results of this study will provide ergonomically safe and efficient working environments considering the physical properties of each worker.

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Author information

Authors and Affiliations

  1. Organization of Advanced Science and Technology, Kobe University, 1-1, Rokko-dai, Nada, Kobe, Hyogo, 657-8501, Japan

    Isamu Nishida

  2. Service Design Department, NTT DOCOMO, INC, Sanno Park Tower.8F, 2-11-1, Nagata-cho, Chiyoda-ku, Tokyo, 100-6150, Japan

    Kazuya Sata

  3. Graduate School of Human Development and Environment, Kobe University, 1-1, Rokko-dai, Nada, Kobe, Hyogo, 657-8501, Japan

    Masato Maeda

  4. School of Faculty of Science and Technology, Setsunan University, 17-8, Ikedanaka-machi, Neyagawa, Osaka, 572-8508, Japan

    Tsuneo Kawano

  5. Graduate School of Engineering, Kobe University, 1-1, Rokko-dai, Nada, Kobe, Hyogo, 657-8501, Japan

    Keiich Shirase

Authors
  1. Isamu Nishida
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  2. Kazuya Sata
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  3. Masato Maeda
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  4. Tsuneo Kawano
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  5. Keiich Shirase
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Corresponding author

Correspondence to Isamu Nishida .

Editor information

Editors and Affiliations

  1. Hong Kong University of Science and Technology, Kowloon, Hong Kong

    Ravindra Goonetilleke

  2. University of Central Florida , Orlando, Florida, USA

    Waldemar Karwowski

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© 2016 Springer International Publishing Switzerland

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Nishida, I., Sata, K., Maeda, M., Kawano, T., Shirase, K. (2016). Estimation Method of Muscle Fatigue and Recovery Progress Using a Muscular Fatigue Model. In: Goonetilleke, R., Karwowski, W. (eds) Advances in Physical Ergonomics and Human Factors. Advances in Intelligent Systems and Computing, vol 489. Springer, Cham. https://doi.org/10.1007/978-3-319-41694-6_51

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  • DOI: https://doi.org/10.1007/978-3-319-41694-6_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41693-9

  • Online ISBN: 978-3-319-41694-6

  • eBook Packages: EngineeringEngineering (R0)

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