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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...

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Autores principales: Felius, Richard A. W., Geerars, Marieke, Bruijn, Sjoerd M., van Dieën, Jaap H., Wouda, Natasja C., Punt, Michiel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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