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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
Published on: March 14, 2017
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Evaluation of a smartphone accelerometer system for measuring nonlinear dynamics during treadmill walking: Concurrent
Vincenzo E Di Bacco1, William H Gage1
1School of Kinesiology and Health Science, York University, Toronto, ON, Canada.
Journal of Biomechanics
|March 22, 2023
Summary
Smartphone accelerometers offer a reliable method for capturing gait patterns, including complex nonlinear measures, outside the lab. This technology shows good agreement and moderate-to-excellent reliability for gait analysis.
Area of Science:
- Biomechanics
- Wearable technology
Background:
- Smartphone accelerometers show potential for unobtrusive, long-term gait monitoring.
- Validating smartphone-based gait analysis against established methods is crucial.
Purpose of the Study:
- To evaluate the agreement and reliability of gait measures from smartphone accelerometers compared to motion capture and footswitch systems.
- To assess the smartphone system's ability to capture both linear and nonlinear gait parameters.
Main Methods:
- Seventeen healthy adults completed treadmill walking trials.
- Gait measures were derived from smartphone accelerometers, motion capture, and footswitch systems.
- Inter-stride interval series analyzed for linear and nonlinear gait parameters (fractal scaling index, approximate entropy, sample entropy).
Main Results:
- Smartphone system demonstrated acceptable agreement with reference systems.
- Moderate-to-excellent reliability was observed for smartphone-derived gait measures.
- Linear gait measures showed higher reliability than nonlinear measures, comparable to reference systems.
Conclusions:
- Smartphone accelerometers provide a valid and reliable tool for estimating linear and nonlinear gait measures during treadmill walking.
- This technology facilitates accessible and extended gait analysis outside laboratory settings.
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