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Isometric and Eccentric Force Generation Assessment of Skeletal Muscles Isolated from Murine Models of Muscular Dystrophies
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Killian Bouillard1, Antoine Nordez, François Hug

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Supersonic Shear Imaging (SSI) more accurately estimates individual muscle force than surface electromyography (EMG). This new method for muscle force estimation is not affected by muscle fiber pennation, offering a significant advancement in biomechanics.

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Area of Science:

  • Biomechanics
  • Musculoskeletal research
  • Medical imaging

Background:

  • Estimating individual muscle force is a persistent challenge in biomechanics.
  • Current methods like surface electromyography (EMG) have limitations in accuracy.
  • Developing novel techniques for precise muscle force assessment is crucial for understanding human movement and injury.

Purpose of the Study:

  • To evaluate Supersonic Shear Imaging (SSI) for estimating individual muscle force.
  • To compare the accuracy of SSI-based force estimation against surface EMG.
  • To investigate the influence of muscle fiber pennation on SSI's estimation accuracy.

Main Methods:

  • Eleven subjects underwent two experimental sessions for shear elastic modulus and EMG measurements.
  • Participants performed ramp and random-change contractions of hand muscles (first dorsal interosseous, abductor digiti minimi).
  • Multi-channel surface EMG and SSI were used to record muscle activity and shear elastic modulus.

Main Results:

  • Significant linear relationships were found between shear elastic modulus and torque (R² = 0.982 ± 0.013).
  • SSI demonstrated significantly lower estimation errors compared to EMG for both contraction types (p<0.01 for ramp, p<0.05 for random).
  • No significant differences in accuracy were observed between the tested muscles.

Conclusions:

  • Supersonic Shear Imaging (SSI) provides a more accurate estimation of individual muscle force than surface EMG.
  • The accuracy of SSI-based muscle force estimation is not influenced by muscle fiber pennation.
  • SSI represents a promising advancement for non-invasive muscle force assessment in biomechanics.