期刊
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
卷 18, 期 13, 页码 1445-1458出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/10255842.2014.916698
关键词
biomechanics; computational modeling; medical computing; neuromuscular; musculoskeletal
资金
- Rehab R&D Service of the Department of Veterans Affairs [A4270X]
- Searle Funds of the Chicago Community Trust
- National Institutes of Health [NIH5R24HD050821-02, NIHR01EB011615]
- National Science Foundation [CBET-0828115, CBET-1405246]
- Div Of Chem, Bioeng, Env, & Transp Sys
- Directorate For Engineering [1405246] Funding Source: National Science Foundation
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.
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