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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
Published on: March 14, 2017
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Reliability of the Frontal Plane Knee Alignment Measurement Based on a Remote Protocol
Karina Rodrigues Mauro1, Laura de Menezes Cantusio1, Karina Guimarães de Brito Menezes1
1School of Physical Education, University of Campinas, São Paulo, Brazil.
International Journal of Telerehabilitation
|November 29, 2023
Summary
This study shows that using patient-taken phone images to assess dynamic knee alignment is reliable. This remote method offers a viable alternative for exercise prescription and movement quality analysis.
Area of Science:
- Biomechanics
- Kinesiology
- Sports Medicine
Background:
- Assessing movement quality is crucial for effective exercise prescription.
- Remote assessment methods are gaining importance in healthcare.
- Dynamic knee alignment is a key indicator of movement quality.
Purpose of the Study:
- To evaluate the reproducibility of a remote protocol for assessing dynamic knee alignment.
- To determine if patient-captured images can be reliably used for this assessment.
Main Methods:
- Thirteen women performed single-leg squats, filming themselves on two separate occasions.
- Three independent raters measured the knee frontal plane projection angle from the captured images.
- Reproducibility was assessed using intraclass correlation coefficients (ICC).
Main Results:
- The protocol was successfully completed by 84.6% of participants.
- Intra-rater ICC values ranged from 0.880 to 0.999, indicating excellent agreement.
- Inter-rater ICC values ranged from 0.817 to 0.987, demonstrating high reliability between raters.
Conclusions:
- Patient-captured smartphone images provide a reproducible method for remote dynamic knee alignment assessment.
- This approach shows potential as a practical alternative for remote evaluations.
- The findings support the use of this technology in exercise prescription and movement analysis.
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