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Method to Measure Tone of Axial and Proximal Muscle
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General Muscle Torque Generator Model for a Two Degree-of-Freedom Shoulder Joint.

Sydney Bell1,2, Ali Nasr1, John McPhee1

  • 1Systems Design Engineering Department, University of Waterloo, Waterloo, ON N2L 3G1, Canada.

Journal of Biomechanical Engineering
|March 12, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new muscle torque generator (MTG) model for multi-Degree-of-Freedom (DoF) shoulder joints. The developed model accurately predicts shoulder torque, accounting for coupled movements.

Keywords:
muscle mechanicsmuscle torque generatorshoulder jointtorque-angle relationshiptorque-velocity relationship

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Area of Science:

  • Biomechanics
  • Human Movement Science
  • Orthopedics

Background:

  • Muscle torque generators (MTGs) simplify muscle-force models but are limited to single Degree-of-Freedom (DoF) joints.
  • Modeling multi-DoF joints like the shoulder requires accounting for complex inter-joint movements.

Purpose of the Study:

  • To develop and validate a novel 2-DoF MTG model for the shoulder joint.
  • To investigate the coupling between shoulder plane of elevation and shoulder elevation movements.
  • To enhance the predictive capability of MTGs for complex anatomical structures.

Main Methods:

  • Developed three distinct 2-DoF MTG equations to capture shoulder movement coupling.
  • Collected net shoulder joint torque data from 20 participants across isometric, isokinetic, and passive tests.
  • Utilized curve and surface polynomial fitting for data analysis and model generalization.
  • Validated models against experimental isokinetic torque data.

Main Results:

  • The implicit coupling model, using interpolation between single-DoF MTGs, achieved the lowest root-mean-square percent error (8.5%).
  • Demonstrated that generalized MTG models can effectively predict shoulder torque influenced by multiple DoFs.
  • Identified specific coupling characteristics between shoulder plane of elevation and shoulder elevation.

Conclusions:

  • The developed 2-DoF MTG model provides a more accurate representation of shoulder joint biomechanics.
  • This advancement allows for more sophisticated modeling of complex human movements.
  • The findings have implications for rehabilitation, sports science, and prosthetic design.