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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575241/ https://www.ncbi.nlm.nih.gov/pubmed/37836986 http://dx.doi.org/10.3390/s23198155 |
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author | Riglet, Louis Nicol, Fabien Leonard, Audrey Eby, Nicolas Claquesin, Lauranne Orliac, Baptiste Ornetti, Paul Laroche, Davy Gueugnon, Mathieu |
author_facet | Riglet, Louis Nicol, Fabien Leonard, Audrey Eby, Nicolas Claquesin, Lauranne Orliac, Baptiste Ornetti, Paul Laroche, Davy Gueugnon, Mathieu |
author_sort | Riglet, Louis |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10575241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105752412023-10-14 The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study Riglet, Louis Nicol, Fabien Leonard, Audrey Eby, Nicolas Claquesin, Lauranne Orliac, Baptiste Ornetti, Paul Laroche, Davy Gueugnon, Mathieu Sensors (Basel) Article 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. MDPI 2023-09-28 /pmc/articles/PMC10575241/ /pubmed/37836986 http://dx.doi.org/10.3390/s23198155 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Riglet, Louis Nicol, Fabien Leonard, Audrey Eby, Nicolas Claquesin, Lauranne Orliac, Baptiste Ornetti, Paul Laroche, Davy Gueugnon, Mathieu The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study |
title | The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study |
title_full | The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study |
title_fullStr | The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study |
title_full_unstemmed | The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study |
title_short | The Use of Embedded IMU Insoles to Assess Gait Parameters: A Validation and Test-Retest Reliability Study |
title_sort | use of embedded imu insoles to assess gait parameters: a validation and test-retest reliability study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575241/ https://www.ncbi.nlm.nih.gov/pubmed/37836986 http://dx.doi.org/10.3390/s23198155 |
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