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Related Experiment Video

Updated: Dec 16, 2025

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
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Personalized Biomechanic Models: Factors Affecting Shoulder Motion.

Gesthimani Antoniadou1, Thomas Theocharis1, Nefeli Chatzistefani1

  • 1Department of Biomedical Engineering, University of West Attica, Athens, Greece.

Studies in Health Technology and Informatics
|July 2, 2020
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Summary

Shoulder mobility significantly decreases with age, but exercise can improve it. Mathematical models for prosthetics and rehabilitation should include age and exercise parameters for personalized care.

Keywords:
Abductionflexionshoulder-jointstatistical analysis

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Area of Science:

  • Biomechanics
  • Rehabilitation Engineering
  • Gerontology

Background:

  • Accurate mathematical models are crucial for personalized prosthetics and rehabilitation of extremity disorders.
  • Understanding shoulder joint mobility is key to developing adaptive and effective treatment models.

Purpose of the Study:

  • To investigate the impact of age on shoulder joint mobility.
  • To identify parameters influencing shoulder movement for improved mathematical modeling.

Main Methods:

  • Studied active and passive abduction (frontal plane) and flexion (sagittal plane).
  • Compared shoulder movement in two distinct age groups.
  • Analyzed the influence of various physiological and lifestyle factors.

Main Results:

  • Significant differences in shoulder range of motion were observed between age groups, with older adults exhibiting reduced mobility.
  • Active and passive movements differed significantly; flexion was generally easier than abduction.
  • Movement parameters were independent of weight, height, BMI, gender, and handedness.

Conclusions:

  • Age is a critical factor affecting shoulder joint mobility.
  • Exercise demonstrates a positive impact, particularly in the elderly, potentially mitigating age-related decline.
  • Incorporating age and exercise data into prosthetic modeling and rehabilitation strategies can enhance personalization and care effectiveness.