ArticleBMC sports science, medicine & rehabilitation2022
Comprehensive validation of a wearable foot sensor system for estimating spatiotemporal gait parameters by simultaneous three-dimensional optical motion analysis.
Article in BMC sports science, medicine & rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Clinical applications of wearable sensor-based gait analysis in athletes: a systematic review for injury prevention and rehabilitation.BMC sports science, medicine & rehabilitation · 2026Article
- REEV SENSE IMUs for Spatiotemporal Gait Analysis in Post-Stroke Patients: Validation Against Optical Motion Capture.Sensors (Basel, Switzerland) · 2026Article
- REEV SENSE IMUs for Gait Analysis in Stroke: A Clinical Study on Lower Limb Kinematics.Sensors (Basel, Switzerland) · 2025Article
- Comparison of feetme insoles with a motion capture system coupled to force plates for assessing gait and posture.Scientific reports · 2025Article
- The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study.Sensors (Basel, Switzerland) · 2023Article
- Assessment of the reproducibility and accuracy of the VisiaGMS Interdisciplinary plastic and reconstructive surgery DGPW · 2023Article
- FactorsSage open agingArticle
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUse of a wearable gait analysis system (WGAS) is becoming common when conducting gait analysis studies due to its versatility. At the same time, its versatility raises a concern about its accuracy, because its calculations rely on assumptions embedded in its algorithms. The purpose of the present study was to validate twenty spatiotemporal gait parameters calculated by the WGAS by comparison with simultaneous measurements taken with an optical motion capture system (OMCS).
methodsTen young healthy volunteers wore two inertial sensors of the commercially available WGAS, Physilog®, on their feet and 23 markers for the OMCS on the lower part of the body. The participants performed at least three sets of 10-m walk tests at their self-paced speed in the laboratory equipped with 12 high-speed digital cameras with embedded force plates. To measure repeatability, all participants returned for a second day of testing within two weeks.
resultsTwenty gait parameters calculated by the WGAS had a significant correlation with the ones determined by the OMCS. Bland and Altman analysis showed that the between-device agreement for twenty gait parameters was within clinically acceptable limits. The validity of the gait parameters generated by the WGAS was found to be excellent except for two parameters, swing width and maximal heel clearance. The repeatability of the WGAS was excellent when measured between sessions.
conclusionThe present study showed that spatiotemporal gait parameters estimated by the WGAS were reasonably accurate and repeatable in healthy young adults, providing a scientific basis for applying this system to clinical studies.
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