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Related Concept Videos

Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

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Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
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An Electromyographically Driven Cervical Spine Model in OpenSim.

Jeff M Barrett1, Colin D McKinnon2, Clark R Dickerson1

  • 1University of Waterloo.

Journal of Applied Biomechanics
|September 21, 2021
PubMed
Summary
This summary is machine-generated.

This study developed a cervical spine biomechanical model and tested a new motion technique. The novel technique showed non-physiological motion, highlighting the need for validated biomechanical models for neck pain research.

Keywords:
neck biomechanicsneck loadsspinal rhythmvalidation

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Area of Science:

  • Biomechanics
  • Spine Mechanics
  • Computational Modeling

Background:

  • Limited biomechanical models exist for quantifying neck pain risk factors.
  • Validation of spinal-rhythm techniques for inverse dynamics spine models is needed.

Purpose of the Study:

  • Develop a cervical spine model in OpenSim.
  • Test a novel spinal-rhythm technique minimizing passive tissue potential energy.
  • Compare an electromyography-driven approach for compression/shear estimation with existing models.

Main Methods:

  • Developed ligament force-deflection and joint moment-angle curves from existing data.
  • Incorporated 218 Hill-type muscle elements (58 muscles) with passive force validation against in vivo data.
  • Utilized kinematics and electromyography from 8 healthy males to calculate C7-T1 compression.

Main Results:

  • The novel spinal-rhythm technique resulted in disproportionate upper cervical spine motion, deemed non-physiological.
  • Compression forces at C7-T1 differed from other models by 25.5 to 368.1 N.
  • Discrepancies in force estimations may stem from variations in model geometry, passive components, degrees of freedom, or objective functions.

Conclusions:

  • The developed OpenSim cervical spine model provides a foundation for future biomechanical risk factor analysis.
  • The tested spinal-rhythm technique requires refinement to ensure physiological motion representation.
  • Significant differences in compression/shear estimations highlight the importance of model validation and component selection in cervical spine modeling.