Benchmarking of dynamic simulation predictions in two software platforms using an upper limb musculoskeletal model
Year: 2014
Type: article
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.
Institutions: North Carolina State University, Shirley Ryan AbilityLab, Valparaiso University, Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences, Wake Forest University Health Sciences, Wake Forest University, Virginia Tech, Stanford University, Northwestern University, Edward Hines, Jr. VA Hospital
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2070510586