Benchmarking of dynamic simulation predictions in two software platforms using an upper limb musculoskeletal model

Katherine R. Saul*, Xiao Hu, Craig M. Goehler, Meghan E. Vidt, Melissa Daly, Anca Velisar, Wendy M. Murray

*Corresponding author for this work

Research output: Contribution to journalArticle

97 Scopus citations

Abstract

Several opensource or commercially available software platforms are widely used to develop dynamic simulations of movement. While computational approaches are conceptually similar across platforms, technical differences in implementation may influence output. We present a new upper limb dynamic model as a tool to evaluate potential differences in predictive behavior between platforms. We evaluated to what extent differences in technical implementations in popular simulation software environments result in differences in kinematic predictions for single and multijoint movements using EMG- and optimization-based approaches for deriving control signals. We illustrate the benchmarking comparison using SIMM–Dynamics Pipeline–SD/Fast and OpenSim platforms. The most substantial divergence results from differences in muscle model and actuator paths. This model is a valuable resource and is available for download by other researchers. The model, data, and simulation results presented here can be used by future researchers to benchmark other software platforms and software upgrades for these two platforms.

Original languageEnglish (US)
Pages (from-to)1445-1458
Number of pages14
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume18
Issue number13
DOIs
StatePublished - Oct 3 2015

Keywords

  • biomechanics
  • computational modeling
  • medical computing
  • musculoskeletal
  • neuromuscular

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications

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