Exploring novel objective functions for simulating muscle coactivation in the neck

Musculoskeletal modeling allows for analysis of individual muscles in various situations. However, current techniques to realistically simulate muscle response when significant amounts of intentional coactivation is required are inadequate. This would include stiffening the neck or spine through mus...

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Veröffentlicht in:Journal of biomechanics Jg. 71; S. 127 - 134
Hauptverfasser: Mortensen, J., Trkov, M., Merryweather, A.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Elsevier Ltd 11.04.2018
Elsevier Limited
Schlagworte:
Computer simulation
Feature extraction
Human behavior
Human response
Kinematics
Mathematical models
Maximization
Metabolism
Modelling
Muscle coactivation
Muscle contraction
Muscle control
Muscles
Musculoskeletal modeling
Neck
OpenSim
Optimization
Optimization techniques
Spine
Stiffening
Stiffness
Studies
OpenSim
Muscle control
Optimization techniques
Musculoskeletal modeling
Muscle coactivation
ISSN:0021-9290, 1873-2380, 1873-2380
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Zusammenfassung:Musculoskeletal modeling allows for analysis of individual muscles in various situations. However, current techniques to realistically simulate muscle response when significant amounts of intentional coactivation is required are inadequate. This would include stiffening the neck or spine through muscle coactivation in preparation for perturbations or impacts. Muscle coactivation has been modeled previously in the neck and spine using optimization techniques that seek to maximize the joint stiffness by maximizing total muscle activation or muscle force. These approaches have not sought to replicate human response, but rather to explore the possible effects of active muscle. Coactivation remains a challenging feature to include in musculoskeletal models, and may be improved by extracting optimization objective functions from experimental data. However, the components of such an objective function must be known before fitting to experimental data. This study explores the effect of components in several objective functions, in order to recommend components to be used for fitting to experimental data. Four novel approaches to modeling coactivation through optimization techniques are presented, two of which produce greater levels of stiffness than previous techniques. Simulations were performed using OpenSim and MATLAB cooperatively. Results show that maximizing the moment generated by a particular muscle appears analogous to maximizing joint stiffness. The approach of optimizing for maximum moment generated by individual muscles may be a good candidate for developing objective functions that accurately simulate muscle coactivation in complex joints. This new approach will be the focus of future studies with human subjects.
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ISSN:0021-9290
1873-2380
1873-2380
DOI:10.1016/j.jbiomech.2018.01.030