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Reliability of IMU-Based Gait Assessment in Clinical Stroke Rehabilitation
Background: Gait is often impaired in people after stroke, restricting personal independence and affecting quality of life. During stroke rehabilitation, walking capacity is conventionally assessed by measuring walking distance and speed. Gait features, such as asymmetry and variability, are not rou...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839370/ https://www.ncbi.nlm.nih.gov/pubmed/35161654 http://dx.doi.org/10.3390/s22030908 |
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author | Felius, Richard A. W. Geerars, Marieke Bruijn, Sjoerd M. van Dieën, Jaap H. Wouda, Natasja C. Punt, Michiel |
author_facet | Felius, Richard A. W. Geerars, Marieke Bruijn, Sjoerd M. van Dieën, Jaap H. Wouda, Natasja C. Punt, Michiel |
author_sort | Felius, Richard A. W. |
collection | PubMed |
description | Background: Gait is often impaired in people after stroke, restricting personal independence and affecting quality of life. During stroke rehabilitation, walking capacity is conventionally assessed by measuring walking distance and speed. Gait features, such as asymmetry and variability, are not routinely determined, but may provide more specific insights into the patient’s walking capacity. Inertial measurement units offer a feasible and promising tool to determine these gait features. Objective: We examined the test–retest reliability of inertial measurement units-based gait features measured in a two-minute walking assessment in people after stroke and while in clinical rehabilitation. Method: Thirty-one people after stroke performed two assessments with a test–retest interval of 24 h. Each assessment consisted of a two-minute walking test on a 14-m walking path. Participants were equipped with three inertial measurement units, placed at both feet and at the low back. In total, 166 gait features were calculated for each assessment, consisting of spatio-temporal (56), frequency (26), complexity (63), and asymmetry (14) features. The reliability was determined using the intraclass correlation coefficient. Additionally, the minimal detectable change and the relative minimal detectable change were computed. Results: Overall, 107 gait features had good–excellent reliability, consisting of 50 spatio-temporal, 8 frequency, 36 complexity, and 13 symmetry features. The relative minimal detectable change of these features ranged between 0.5 and 1.5 standard deviations. Conclusion: Gait can reliably be assessed in people after stroke in clinical stroke rehabilitation using three inertial measurement units. |
format | Online Article Text |
id | pubmed-8839370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88393702022-02-13 Reliability of IMU-Based Gait Assessment in Clinical Stroke Rehabilitation Felius, Richard A. W. Geerars, Marieke Bruijn, Sjoerd M. van Dieën, Jaap H. Wouda, Natasja C. Punt, Michiel Sensors (Basel) Article Background: Gait is often impaired in people after stroke, restricting personal independence and affecting quality of life. During stroke rehabilitation, walking capacity is conventionally assessed by measuring walking distance and speed. Gait features, such as asymmetry and variability, are not routinely determined, but may provide more specific insights into the patient’s walking capacity. Inertial measurement units offer a feasible and promising tool to determine these gait features. Objective: We examined the test–retest reliability of inertial measurement units-based gait features measured in a two-minute walking assessment in people after stroke and while in clinical rehabilitation. Method: Thirty-one people after stroke performed two assessments with a test–retest interval of 24 h. Each assessment consisted of a two-minute walking test on a 14-m walking path. Participants were equipped with three inertial measurement units, placed at both feet and at the low back. In total, 166 gait features were calculated for each assessment, consisting of spatio-temporal (56), frequency (26), complexity (63), and asymmetry (14) features. The reliability was determined using the intraclass correlation coefficient. Additionally, the minimal detectable change and the relative minimal detectable change were computed. Results: Overall, 107 gait features had good–excellent reliability, consisting of 50 spatio-temporal, 8 frequency, 36 complexity, and 13 symmetry features. The relative minimal detectable change of these features ranged between 0.5 and 1.5 standard deviations. Conclusion: Gait can reliably be assessed in people after stroke in clinical stroke rehabilitation using three inertial measurement units. MDPI 2022-01-25 /pmc/articles/PMC8839370/ /pubmed/35161654 http://dx.doi.org/10.3390/s22030908 Text en © 2022 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 Felius, Richard A. W. Geerars, Marieke Bruijn, Sjoerd M. van Dieën, Jaap H. Wouda, Natasja C. Punt, Michiel Reliability of IMU-Based Gait Assessment in Clinical Stroke Rehabilitation |
title | Reliability of IMU-Based Gait Assessment in Clinical Stroke Rehabilitation |
title_full | Reliability of IMU-Based Gait Assessment in Clinical Stroke Rehabilitation |
title_fullStr | Reliability of IMU-Based Gait Assessment in Clinical Stroke Rehabilitation |
title_full_unstemmed | Reliability of IMU-Based Gait Assessment in Clinical Stroke Rehabilitation |
title_short | Reliability of IMU-Based Gait Assessment in Clinical Stroke Rehabilitation |
title_sort | reliability of imu-based gait assessment in clinical stroke rehabilitation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839370/ https://www.ncbi.nlm.nih.gov/pubmed/35161654 http://dx.doi.org/10.3390/s22030908 |
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