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Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
Published on: March 12, 2021
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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
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.
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.
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