Automated optimization of residual reduction algorithm parameters in OpenSim

The residual reduction algorithm (RRA) in OpenSim is designed to improve dynamic consistency of kinematics and ground reaction forces in movement simulations of musculoskeletal models. RRA requires the user to select numerous tracking weights for the joint kinematics to reduce residual errors. Selec...

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Veröffentlicht in:Journal of biomechanics Jg. 137; S. 111087
Hauptverfasser: Sturdy, Jordan T., Silverman, Anne K., Pickle, Nathan T.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Elsevier Ltd 01.05.2022
Elsevier Limited
Schlagworte:
Algorithms
Automation
Biomechanics
Decision making
Dynamic Consistency
Errors
Kinematics
MATLAB
Movement simulation
Open source software
OpenSim
Optimization
Python
Reduction
RRA
Simulation
Tracking
Biomechanics
OpenSim
RRA
Movement simulation
Dynamic Consistency
MATLAB
Python
ISSN:0021-9290, 1873-2380, 1873-2380
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Zusammenfassung:The residual reduction algorithm (RRA) in OpenSim is designed to improve dynamic consistency of kinematics and ground reaction forces in movement simulations of musculoskeletal models. RRA requires the user to select numerous tracking weights for the joint kinematics to reduce residual errors. Selection is often performed manually, which can be time-consuming and is unlikely to yield optimal tracking weights. A multi-heuristic optimization algorithm was used to expedite tracking weight decision making to reduce residual errors. This method produced more rigorous results than manual iterations and although the total computation time was not significantly reduced, this method does not require the user to monitor the algorithm’s progress to find a solution, thereby reducing manual tuning. Supporting documentation and code to implement this optimization is freely provided to assist the community with developing movement simulations.
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ISSN:0021-9290
1873-2380
1873-2380
DOI:10.1016/j.jbiomech.2022.111087