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An analytical examination of muscle force estimations using optimization techniques

J H Challis1, D G Kerwin

  • 1Applied Physiology Research Unit, School of Sport and Exercise Sciences, University of Birmingham.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
|January 1, 1993
PubMed
Summary

Estimating human muscle forces using optimization is inaccurate. A new, simpler function accounts for muscle physiology, improving in vivo muscle force estimations.

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Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Musculoskeletal Modeling

Background:

  • Muscle force estimation is crucial for understanding human movement.
  • Optimization procedures are commonly used but may not fully capture muscle physiology.
  • Existing methods often lack physiological realism.

Purpose of the Study:

  • To evaluate 15 different objective functions for estimating muscle forces during human movement.
  • To compare the predictions of these objective functions against a validated muscle model.
  • To propose a novel, simpler objective function for more accurate in vivo muscle force estimation.

Main Methods:

  • Analytical solutions of 15 objective functions were examined.
  • Muscle force predictions were compared with those from a validated muscle model.

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  • A new objective function was developed based on physiological properties and maximal activation.

    • Main Results:

    • The 15 evaluated objective functions showed poor correspondence with the validated muscle model.
    • Objective function estimates were criticized for neglecting crucial physiological properties of muscles.
    • The proposed simpler function demonstrated improved accuracy in estimating muscle forces.

    Conclusions:

    • Current optimization-based methods for estimating muscle forces in vivo are often inadequate.
    • A novel objective function, considering the ratio of muscle force to maximum force, offers a more physiologically plausible approach.
    • This new method enhances the accuracy of in vivo muscle force estimations by incorporating muscle physiological constraints.