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The FeetMe® Insoles System: Repeatability, Standard Error of Measure, and Responsiveness
Nathan Martin1,2, Fabien Leboeuf2,3, Didier Pradon1,4
1Pôle Parasport-ISPC Synergies, CHU Raymond Poincaré, APHP, 92380 Garches, France.
The FeetMe® system, a wearable device for gait analysis, demonstrates high reliability and sensitivity. This instrumented insole technology can accurately detect patient asymmetry and track progress in walking ability.
Area of Science:
- Biomechanics
- Wearable technology
- Gait analysis
Background:
- Optoelectronic systems are standard for gait analysis but limited in ecological settings.
- Wearable devices offer an alternative for in-home and real-world gait assessments.
- Limited metrological data exists for wearable gait analysis systems regarding repeatability and sensitivity.
Purpose of the Study:
- To evaluate the metrological properties of the FeetMe® system for gait analysis.
- To assess the repeatability and sensitivity to change of instrumented insoles.
Main Methods:
- A healthy adult completed 6-minute walking tests using FeetMe® insoles.
- Data was collected under various overground and treadmill conditions.
- Standard Error of Measurement (SEM), Minimum Detectable Differences (MDDs), and Effect Size (ES) were calculated.
Main Results:
- SEM values were below 3.9% for ground reaction force and 6.8% for spatio-temporal parameters.
- High Effect Size (ES > 1.2) was observed in 72.9% of overground vs. treadmill conditions with asymmetry.
- Minimum Detectable Differences ranged from 4.5% to 18.9% across parameters.
Conclusions:
- The FeetMe® system proves to be a reliable solution for gait analysis.
- The system's sensitivity allows for effective monitoring of patient asymmetry and treatment progress.
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