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Updated: Nov 4, 2025

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
Published on: March 12, 2021
Helical axis analysis to quantify humeral kinematics during shoulder rotation
Corrado Cescon1, Marco Barbero1, Marco Conti2
1Rehabilitation Research Laboratory 2rLab, Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland.
This study analyzed shoulder rotation using helical axis (HA) parameters in healthy individuals. Findings suggest HA parameters can help identify shoulder instability by revealing differences in humeral rotation between sides.
Area of Science:
- Biomechanics
- Orthopedics
- Human Movement Analysis
Background:
- Understanding humeral kinematics is crucial for diagnosing shoulder instability.
- The helical axis (HA) technique offers a method to quantify 3D joint motion.
Purpose of the Study:
- To quantify humeral rotations using helical axis (HA) parameters under three different conditions.
- To assess the utility of HA parameters in differentiating shoulder kinematics.
Main Methods:
- Nineteen asymptomatic participants underwent shoulder kinematics measurement using an optoelectric motion capture system.
- Subjects performed three distinct full-range shoulder rotations, analyzed via the HA technique.
- Four HA parameters were extracted: range of movement (RoM), mean angle (MA), axis dispersion (MDD), and distance of center (D).
Main Results:
- No significant differences in RoM were found between left and right shoulders.
- Mean angle (MA) and axis dispersion (MDD) were significantly lower on the right side compared to the left across all conditions.
- These parameters showed potential as indicators of shoulder instability.
Conclusions:
- Helical axis parameters provide quantitative insights into shoulder kinematics.
- Differences in HA parameters between sides may indicate underlying shoulder instability.
- The HA technique is a promising tool for assessing shoulder joint mechanics and diagnosing instability.
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