The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study

Wireless wearable insoles are interesting tools to collect gait parameters during daily life activities. However, studies have to be performed specifically for each type of insoles on a big data set to validate the measurement in ecological situations. This study aims to assess the criterion validit...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 23; no. 19; p. 8155
Main Authors Riglet, Louis, Nicol, Fabien, Leonard, Audrey, Eby, Nicolas, Claquesin, Lauranne, Orliac, Baptiste, Ornetti, Paul, Laroche, Davy, Gueugnon, Mathieu
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 28.09.2023
MDPI
Subjects
3D motion analysis
Algorithms
criterion validity
Exercise equipment
Fitness equipment
Gait
gait analysis
insole
Kinematics
Motion capture
Sensors
Software
test-retest reliability
validation
Velocity
Walking
France
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Summary:Wireless wearable insoles are interesting tools to collect gait parameters during daily life activities. However, studies have to be performed specifically for each type of insoles on a big data set to validate the measurement in ecological situations. This study aims to assess the criterion validity and test-retest reliability of gait parameters from wearable insoles compared to motion capture system. Gait of 30 healthy participants was recorded using DSPro® insoles and a motion capture system during overground and treadmill walking at three different speeds. Criterion validity and test-retest reliability of spatio-temporal parameters were estimated with an intraclass correlation coefficient (ICC). For both systems, reliability was found higher than 0.70 for all variables (p < 0.001) except for minimum toe clearance (ICC < 0.50) with motion capture system during overground walking. Regardless of speed and condition of walking, Speed, Cadence, Stride Length, Stride Time and Stance Time variables were validated (ICC > 0.90; p < 0.001). During walking on treadmill, loading time was not validated during slow speed (ICC < 0.70). This study highlights good criterion validity and test-retest reliability of spatiotemporal gait parameters measurement using wearable insoles and opens a new possibility to improve care management of patients using clinical gait analysis in daily life activities.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s23198155