Improved ergonomic risk factor assessment using opensim and inertial measurement units

Jonathan Mortensen, Mitja Trkov, Andrew Merryweather

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Rapid Upper Limb Assessment (RULA) is a posture driven ergonomic risk assessment method. The RULA is simple to apply, but consequently has substantial limitations because of limited force and joint angle resolutions. Using OpenSim to understand soft tissue loading and inertial measurement units (IMUs) to measure posture represents a novel approach and provides greater resolution. We simulated the upper limb in multiple postures and under various loading conditions using OpenSim. We compared five OpenSim model output metrics to RULA risk scores. Total joint reaction forces aligned best with RULA scores. Future work will incorporate IMUs, more simulations, and analyze longitudinal injury data to model and estimate ergonomic risk.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE/ACM International Conference on Connected Health
Subtitle of host publicationApplications, Systems and Engineering Technologies, CHASE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages27-28
Number of pages2
ISBN (Electronic)9781538672068
DOIs
StatePublished - Feb 21 2019
Externally publishedYes
Event3rd IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2018 - Washington, United States
Duration: Sep 26 2018Sep 28 2018

Publication series

NameProceedings - 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2018

Conference

Conference3rd IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2018
Country/TerritoryUnited States
CityWashington
Period9/26/189/28/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Biomedical Engineering
  • Health(social science)
  • Communication
  • Software
  • Computer Science Applications
  • Health Informatics

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