• Title of article

    Assessment of isometric muscle exertion in short-term considering task-rest schedule

  • Author/Authors

    Chegini ، A. School of Industrial Engineering - Iran University of Science and Technology , Ghousi ، R. School of Industrial Engineering - Iran University of Science and Technology , Sadeghi Naeini ، H. Department of Architecture and Urban Development - Iran University of Science and Technology

  • From page
    2171
  • To page
    2182
  • Abstract
    Numerous workers experience occupational diseases, especially musculoskeletal disorders, due to various physical, psychological, and individual factors. Among known risk factors for musculoskeletal disorders, work-rest patterns, and muscle fatigue are to be named. Assessment of muscle fatigue plays an important role, leading to a proper design for a work-rest program. This study was aimed to investigate isometric muscle strength in Iranian workers during repetitive activities based on gender and rest time. It has been attempted to present a model for isometric muscle strength. In a laboratory experiment, 31 students comprised of 19 males and 12 females participated, and muscle strength was recorded by a dynamometer. Minitab software results analysis proved that females’ upper body muscles showed a higher level of resistance to fatigue rather than males. Furthermore, tests’ results for each individual were more in line with cubic regression so that four models with a high R-Sq index (at least 94.4%) and high R-Sq (adj) index (at least 77.8%) were presented to predict isometric muscle strength in short-run. Finally, it has been suggested to use male workers for repetitive activities with a high workload and enough rest time and use female workers for repetitive activities with low workload and high frequency.
  • Keywords
    Ergonomics , Fatigue , Gender , Repetitive Task , Muscle Recovery , Work , Rest Time
  • Journal title
    Scientia Iranica(Transactions E: Industrial Engineering)
  • Journal title
    Scientia Iranica(Transactions E: Industrial Engineering)
  • Record number

    2752971