Evaluating the Effectiveness of Estimating Cumulative Loading Using Linear Integration Method

  • Rong HuangfuEmail author
  • Sean Gallagher
  • Richard Sesek
  • Mark Schall
  • Gerard Davis
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 820)


Exposure to cumulative loading is a significant risk factor in the development of musculoskeletal disorders (MSD). To better understand the dose-response relationship, it is critically to quantify the cumulative exposure. Different integration methods have been used in estimating cumulative loading (force or torque). The general objective of the integration methods has been to sum the independently calculated task exposure. Each task was calculated by multiplying the magnitude of the task loading times the task duration which is the “area under the loading curve”. An assumption of this linear integration model is that long-time exposure to low forces will result in a similar level of damage as relatively short time exposure to high forces. To evaluate the effectiveness of this model, three loading groups of eccentric exercise with the same “area under the loading curve” were performed by thirty participants (ten in each group). Maximum isometric voluntary contractions (MIVC) and relaxed elbow angle (REA) were collected before, immediately after, and 2, 4, 8 days after the exercise. The REA and MIVC changes after the eccentric exercise were significantly impacted by the loading group. It suggests that estimating cumulative loading using linear integration method may underestimate the impact of high force loading in terms of cumulative muscle damage.


Linear integration Cumulative load Eccentric exercise 



The authors wish to thank Chad Abrams and Steve Kisor from RehabWorks for their support during the data collection. Thanks to Aimee Sacks, Heather Murphree, Jackie McCoy, Jean Evans, Joy Shirley, Juan Barnes, Laura Allen, Lurlene Buck from the University Clinic for sharing their expertise and valuable time in this study. This research was supported by the pilot research project from the National Institute for Occupational Safety and Health (NIOSH) Sunshine Education and Research Center.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Rong Huangfu
    • 1
    Email author
  • Sean Gallagher
    • 1
  • Richard Sesek
    • 1
  • Mark Schall
    • 1
  • Gerard Davis
    • 1
  1. 1.Industrial and Systems Engineering DepartmentAuburn UniversityAuburnUSA

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