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Exploring novel objective functions for simulating muscle coactivation in the neck.

J Mortensen1, M Trkov1, A Merryweather1

  • 1Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA.

Journal of Biomechanics
|February 18, 2018
PubMed
Summary

This study introduces novel methods for musculoskeletal modeling, enhancing the simulation of muscle coactivation for improved neck and spine stiffness prediction. Maximizing individual muscle moment shows promise for accurately replicating human responses during impacts.

Keywords:
Muscle coactivationMuscle controlMusculoskeletal modelingOpenSimOptimization techniques

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Area of Science:

  • Biomechanics
  • Computational Modeling

Background:

  • Current musculoskeletal models struggle to accurately simulate intentional muscle coactivation, crucial for joint stiffening during impacts.
  • Previous optimization techniques for muscle coactivation in the neck and spine focused on maximizing joint stiffness, not replicating human responses.

Purpose of the Study:

  • To explore objective function components for improved musculoskeletal coactivation modeling.
  • To present and evaluate novel optimization approaches for simulating muscle coactivation.

Main Methods:

  • Developed and tested four new optimization techniques for muscle coactivation in musculoskeletal models.
  • Utilized OpenSim and MATLAB for cooperative simulations to analyze muscle response and joint stiffness.

Main Results:

  • Two novel approaches yielded higher levels of joint stiffness compared to existing methods.
  • Maximizing the moment generated by individual muscles correlated with increased joint stiffness.

Conclusions:

  • Optimizing for maximum individual muscle moment is a promising strategy for developing objective functions in musculoskeletal models.
  • This approach may lead to more accurate simulations of muscle coactivation in complex joints, paving the way for future human subject studies.