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[Evaluation of upper limb load intensity based on biomechanical methods].

H Li1, F Li, Q Yan

  • 1National Key Laboratory of Human Factors Engineering, Astronaut Research and Training Center of China, Beijing 100094, China.

Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi = Zhonghua Laodong Weisheng Zhiyebing Zazhi = Chinese Journal of Industrial Hygiene and Occupational Diseases
|August 8, 2017
PubMed
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A new biomechanical model accurately evaluates upper limb load intensity in workers. This model, using joint torque analysis, correlates well with subjective worker feedback, offering a reliable assessment tool.

Area of Science:

  • Occupational Health
  • Biomechanics
  • Ergonomics

Background:

  • Assessing upper limb load intensity is crucial for preventing workplace injuries.
  • Existing methods may not fully capture the biomechanical demands of manual labor.

Purpose of the Study:

  • To develop and validate a biomechanical model for evaluating upper limb load intensity in workers.
  • To establish a reliable tool for objective assessment of occupational strain.

Main Methods:

  • Development of biomechanical models using worker posture and force data.
  • Calculation of shoulder, elbow, and wrist joint torques and normalization to relative joint torque.
  • Application of analytic hierarchy process to establish the upper limb load intensity evaluation model.
Keywords:
Analytic hierarchy processArmBiomechanicsLoad intensity

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Main Results:

  • The shoulder joint had the highest influence (0.56) on upper limb load, followed by the elbow (0.27) and wrist (0.17).
  • The biomechanical model's load intensity assessments showed a significant positive correlation with workers' subjective load intensities (r=0.863, P<0.05).
  • No significant difference was found between the model's assessments and subjective feedback (t=0.105, P>0.05).

Conclusions:

  • The developed biomechanical model effectively predicts and evaluates upper limb load intensity in occupational settings.
  • This model provides a scientifically validated approach to occupational load assessment.