Short- and long-term effects of repetitive demanding tasks

Tasks with a repetitive nature are often susceptible to an increased risk of musculoskeletal disorders. Obtaining key insights to how movement patterns of such tasks affect the different body structures such as muscles and ligaments can provide the necessary information to reduce the occurrences of injuries. The ability to model different levels of fatigue in the AnyBody Modeling System allows for an in-depth analysis of how different movement patterns and interventions affect the overall health of the worker. 

Record the motion of interest (or let us record it for you) and analyze the internal body loads. Obtain in silico evidence of efficacy and safety by modeling specific intervention scenarios before implementing them in real life – choose the best fit intervention for implementing. 


  • Detailed insight into different movement patterns and their effect on the musculoskeletal system
  • Modeling of different levels of fatigue to compare the short- and long-term effects of interventions 
  • Personalized or statistically scaled musculoskeletal models to evaluate either a specific worker or a cross section of a desired population.


Contact us to learn more or to discuss how we could solve your problem

  • Skals SL (2021), “Musculoskeletal modelling of manual material handling in the supermarket sector“, Ph.D. Thesis, Aalborg University, Denmark.
  • Skals S, Bláfoss R, de Zee M, Andersen LL, Andersen MS (2021), “Effects of load mass and position on the dynamic loading of the knees, shoulders and lumbar spine during lifting: a musculoskeletal modelling approach“, Appl. Ergon., vol. 96, pp. 103491. [DOIWWW]
  • Larsen FG, Svenningsen FP, Andersen MS, de Zee M, Skals S (2020), “Estimation of Spinal Loading During Manual Materials Handling Using Inertial Motion Capture“, Ann. Biomed. Eng., vol. 48, pp. 805-821. [DOI]
  • Li X, Komeili A, Gül M, El-Rich M (2017), “A framework for evaluating muscle activity during repetitive manual material handling in construction manufacturing“, Autom. Constr., vol. 79, pp. 39-48. [DOIWWW]

More ergonomics publications