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A new simple local muscle recovery model and its theoretical and experimental validation

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study was conducted to provide theoretical and experimental validation of a local muscle recovery model. Muscle recovery has been modeled in different empirical and theoretical approaches to determine work-rest allowance for musculoskeletal disorder (MSD) prevention. However, time-related parameters and individual attributes have not been sufficiently considered in conventional approaches. A new muscle recovery model was proposed by integrating time-related task parameters and individual attributes. Theoretically, this muscle recovery model was compared to other theoretical models mathematically. Experimentally, a total of 20 subjects participated in the experimental validation. Hand grip force recovery and shoulder joint strength recovery were measured after a fatiguing operation. The recovery profile was fitted by using the recovery model, and individual recovery rates were calculated as well after fitting. Good fitting values (r2 > .8) were found for all the subjects. Significant differences in recovery rates were found among different muscle groups (p < .05). The theoretical muscle recovery model was primarily validated by characterization of the recovery process after fatiguing operation. The determined recovery rate may be useful to represent individual recovery attribute.
Rocznik
Strony
86--93
Opis fizyczny
Bibliogr. 27 poz.
Twórcy
autor
  • Department of Industrial Engineering, Tsinghua University, P.R.China
autor
  • Department of Industrial Engineering, Tsinghua University, P.R.China
autor
  • Department of Industrial Engineering, Tsinghua University, P.R.China
autor
  • Department of Industrial Engineering, Tsinghua University, P.R.China
Bibliografia
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7e6b1656-26f4-4dff-bc4f-94acdfb1a762
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