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Multidimensional models for predicting muscle structure and fascicle pennation.

Avleen Randhawa1, James M Wakeling1

  • 1Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.

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|June 16, 2015
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Summary

Muscle models track pennation angles during contraction. A 3D model better predicts muscle depth changes in the medial and lateral gastrocnemius than 1D or 2D models, though a 1D model suffices for fascicle length and pennation relationships.

Keywords:
GastrocnemiiMuscle bulgingMuscle depthPlantarflexion

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Area of Science:

  • Biomechanics
  • Musculoskeletal modeling
  • Human physiology

Background:

  • Pennation angles are crucial for muscle contraction and require accurate tracking in biomechanical models.
  • Current muscle models often simplify internal structural changes, such as constant aponeurosis depth, which may limit predictive accuracy.
  • The in-vivo validation of different muscle structural models in humans remains limited.

Purpose of the Study:

  • To evaluate the predictive accuracy of 1D, 2D, and 3D muscle structural models for pennation and muscle depth changes.
  • To compare model performance in the medial gastrocnemius (MG) and lateral gastrocnemius (LG) during human ankle plantarflexion.
  • To determine the most suitable model for representing in-vivo muscle structural dynamics.

Main Methods:

  • Comparison of 1D (constant depth), 2D (constant panel area), and 3D (constant volume) muscle models.
  • In-vivo analysis of medial gastrocnemius and lateral gastrocnemius during ankle plantarflexion in humans.
  • Assessment of model-predicted pennation angles and muscle depth against experimental data.

Main Results:

  • The 1D model could not account for muscle depth changes.
  • The 2D model inadequately predicted depth changes, failing to capture increases observed in the LG.
  • The 3D model accurately predicted opposing depth changes between MG and LG and improved pennation prediction over 1D and 2D models.
  • When using average parameters, the 3D model showed no advantage over the 1D model for predicting fascicle length-pennation relationships.

Conclusions:

  • The 3D muscle model offers superior prediction of in-vivo muscle depth and pennation dynamics compared to 1D and 2D models.
  • For models solely focused on the relationship between fascicle length and pennation in the gastrocnemius, a simplified 1D model is sufficient.
  • Accurate representation of muscle depth changes is essential for comprehensive musculoskeletal modeling during contraction.