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Article

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

1
CHU Dijon-Bourgogne, Centre d’Investigation Clinique, Module Plurithématique, Plateforme d’Investigation Technologique, 21000 Dijon, France
2
INSERM, CIC 1432, Module Plurithématique, Plateforme d’Investigation Technologique, 21000 Dijon, France
3
Zhortech SAS, 54000 Nancy, France
4
INSERM, UMR1093-CAPS, Université Bourgogne Franche-Comté, UFR des Sciences du Sport, 21000 Dijon, France
5
Rheumatology Department, CHU Dijon-Bourgogne, 21000 Dijon, France
*
Author to whom correspondence should be addressed.
Sensors 2023, 23(19), 8155; https://doi.org/10.3390/s23198155
Submission received: 27 July 2023 / Revised: 20 September 2023 / Accepted: 22 September 2023 / Published: 28 September 2023
(This article belongs to the Special Issue Wearable or Markerless Sensors for Gait and Movement Analysis)

Abstract

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.
Keywords: gait analysis; insole; validation; test-retest reliability; criterion validity; 3D motion analysis gait analysis; insole; validation; test-retest reliability; criterion validity; 3D motion analysis

Share and Cite

MDPI and ACS Style

Riglet, L.; Nicol, F.; Leonard, A.; Eby, N.; Claquesin, L.; Orliac, B.; Ornetti, P.; Laroche, D.; Gueugnon, M. The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study. Sensors 2023, 23, 8155. https://doi.org/10.3390/s23198155

AMA Style

Riglet L, Nicol F, Leonard A, Eby N, Claquesin L, Orliac B, Ornetti P, Laroche D, Gueugnon M. The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study. Sensors. 2023; 23(19):8155. https://doi.org/10.3390/s23198155

Chicago/Turabian Style

Riglet, Louis, Fabien Nicol, Audrey Leonard, Nicolas Eby, Lauranne Claquesin, Baptiste Orliac, Paul Ornetti, Davy Laroche, and Mathieu Gueugnon. 2023. "The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study" Sensors 23, no. 19: 8155. https://doi.org/10.3390/s23198155

APA Style

Riglet, L., Nicol, F., Leonard, A., Eby, N., Claquesin, L., Orliac, B., Ornetti, P., Laroche, D., & Gueugnon, M. (2023). The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study. Sensors, 23(19), 8155. https://doi.org/10.3390/s23198155

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