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Digital Human Modeling for Musculoskeletal Disorder Ergonomics Researches in Healthcare

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Le Zhang

    (University of Science and Technology Beijing)

  • Jian-wei Niu

    (University of Science and Technology Beijing)

  • Xiao-lin Feng

    (University of Science and Technology Beijing)

  • Si-yang Xu

    (University of Science and Technology Beijing)

  • Xin Li

    (University of Science and Technology Beijing)

  • Si-si Guo

    (University of Science and Technology Beijing)

Abstract

Musculoskeletal Disorder (MSD) is always considered as one of the most significant occupational injury in industry. In recent times, more and more people analyze MSD in healthcare. Meanwhile, Digital Human Modeling (DHM) can analyze human factors in Virtual Environment (VE) by simulating industrial tasks. However, few people involve DHM in healthcare MSD researches. This paper presented an approach of applying DHM ergonomics analysis in nursing investigation. The fundamentals of Nursing Tasks (FNT) were simulated in Siemens Classic Jack (Jack) with biomechanical DHM. Jack Tasks Analysis Toolkits (TATs) were adopted to evaluate human factors in MSD analysis. The TAT results and traditional questionnaire investigation showed similar MSD regions. It indicates that DHM has potentials to offer a visual analysis and enhance approach for simulation of dynamic system in healthcare MSD analysis to reduce the incidence of MSD in nursing.

Suggested Citation

  • Le Zhang & Jian-wei Niu & Xiao-lin Feng & Si-yang Xu & Xin Li & Si-si Guo, 2013. "Digital Human Modeling for Musculoskeletal Disorder Ergonomics Researches in Healthcare," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 1149-1156, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38433-2_120
    DOI: 10.1007/978-3-642-38433-2_120
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