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Assessment of Pelvic Motion During Single-Leg Weight-Bearing Tasks Using Smartphone Sensors: Validity Study
Yu Xi1, Zhongsheng Li1, Surendran Vatatheeswaran1
1School of Sport, Exercise and Rehabilitation Sciences, College of Life Sciences, University of Birmingham, Y14, Birmingham, B15 2TT, United Kingdom, 44 0121 4158187.
JMIR Rehabilitation and Assistive Technologies
|April 1, 2025
Summary
Smartphones provide valid and affordable measurements of pelvic motion during single-leg exercises, offering a practical alternative to motion capture for clinicians and athletic trainers monitoring rehabilitation progress.
Area of Science:
- Biomechanics
- Sports Medicine
- Wearable Technology
Background:
- Clinicians and athletic trainers assess single-leg tasks for rehabilitation and exercise progression.
- Key metrics include pelvic motion, balance, and repetition duration.
- Motion capture (MOCAP) is accurate but costly and complex for clinical settings.
Purpose of the Study:
- To validate smartphone sensors against MOCAP for measuring pelvic orientation, acceleration, and repetition duration during single-leg tasks in healthy individuals.
Main Methods:
- 52 healthy participants performed single-leg squats and step-downs.
- Pelvic motion was captured using MOCAP and a smartphone placed on the sacrum.
- Data analyzed for repetition duration, mediolateral acceleration, and 3D pelvic orientation.
Main Results:
- Smartphone metrics showed high agreement with MOCAP (ICCs >0.8 for acceleration/frontal plane, >0.9 for duration/other planes).
- Bias was noted, but both methods detected task-specific differences in pelvic motion.
- Repetition duration did not significantly differ between tasks.
Conclusions:
- Smartphone sensors offer a valid, accessible, and affordable tool for assessing pelvic motion during single-leg weight-bearing tasks.
- These findings support using smartphone sensors for objective assessment and monitoring of single-leg task performance.
- Future research should explore clinical applications for musculoskeletal disorders and improve user interfaces.
