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Average rotation matrices for converting scapula- and glenoid-based coordinate systems to ISB recommendations
Florent Moissenet1, Benjamin Michaud2, Pierre Puchaud3
1Kinesiology Laboratory, Geneva University Hospitals and University of Geneva, Geneva, Switzerland; Biomechanics and Translational Research in Surgery, Department of Surgery, University of Geneva, Geneva, Switzerland.
Harmonizing shoulder biomechanics data is crucial. New average rotation matrices effectively reduce discrepancies between various scapular local coordinate systems (LCSs), improving data interoperability.
Area of Science:
- Biomechanics
- Orthopedics
- Human Movement Science
Background:
- Defining bone-embedded local coordinate systems (LCSs) is essential for shoulder biomechanics research.
- Multiple scapular LCS definitions hinder data comparison and interoperability.
- Existing International Society of Biomechanics (ISB) recommendations are not universally adopted.
Purpose of the Study:
- To extend the use of average rotation matrices to 11 common scapular LCSs.
- To quantify geometric transformations between these LCSs.
- To provide a reliable method for harmonizing scapular kinematic data.
Main Methods:
- Statistical shape models from 80 participants generated 1000 scapulae.
- Computed average rotation matrices between 11 scapular LCSs and the ISB-recommended LCS.
- Assessed accuracy using helical angles.
Main Results:
- Average rotation matrices significantly reduced maximal discrepancies between LCSs from 21.9° to 5.2°.
- Scapula-based LCSs showed lower discrepancies than glenoid-based systems.
- Results demonstrated robustness across datasets and populations, with minimal differences (<3°) compared to prior work.
Conclusions:
- Average rotation matrices offer a reliable framework for harmonizing scapular kinematic data.
- This approach enhances data merging and interoperability in shoulder biomechanics.
- Facilitates consistent analysis across studies using different LCS definitions.
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