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Evaluation of spinal force normalization techniques.

Mohammadhossein Akhavanfar1, Thomas K Uchida2, Ryan B Graham1

  • 1School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada.

Journal of Biomechanics
|January 21, 2023
PubMed
Summary
This summary is machine-generated.

Offset normalization effectively removes body weight effects on spinal forces, unlike division methods. This technique is recommended for accurate biomechanics research across all spine levels and tasks.

Keywords:
Intervertebral LoadMusculoskeletal ModellingNormalizationSpinal ForceSpine

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Area of Science:

  • Biomechanics
  • Spine Biomechanics
  • Musculoskeletal Modeling

Background:

  • Division normalization is common in biomechanics to account for anthropometric differences, but its effectiveness for spinal forces is debated.
  • Existing research suggests offset and power curve normalization may be superior to division normalization for kinetic variables.

Purpose of the Study:

  • To investigate the effectiveness of four normalization techniques for removing body weight effects on spinal forces.
  • To compare division, offset, and power curve normalization methods in lumbar spine biomechanics.

Main Methods:

  • Spinal forces were estimated using an OpenSim musculoskeletal model for 11 scaled models (50-100 kg).
  • Thirteen trunk flexion tasks were simulated.
  • Pearson correlations assessed the effectiveness of normalization techniques against body weight.

Main Results:

  • Body weight and standing division normalization were only partially effective, failing across all lumbar levels and tasks.
  • Offset and power curve normalization techniques successfully normalized spinal forces across all lumbar levels and tasks.
  • Offset normalization effectively removed body weight influence while preserving the effect of trunk flexion angle.

Conclusions:

  • Offset normalization is recommended for accounting for anthropometric differences in spinal force studies.
  • This method provides a more robust approach than division normalization for analyzing spinal biomechanics.