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Ambulatory assessment of walking balance after stroke using instrumented shoes

BACKGROUND: For optimal guidance of walking rehabilitation therapy of stroke patients in an in-home setting, a small and easy to use wearable system is needed. In this paper we present a new shoe-integrated system that quantifies walking balance during activities of daily living and is not restricte...

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Autores principales: van Meulen, Fokke B., Weenk, Dirk, Buurke, Jaap H., van Beijnum, Bert-Jan F., Veltink, Peter H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873995/
https://www.ncbi.nlm.nih.gov/pubmed/27198134
http://dx.doi.org/10.1186/s12984-016-0146-5
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author van Meulen, Fokke B.
Weenk, Dirk
Buurke, Jaap H.
van Beijnum, Bert-Jan F.
Veltink, Peter H.
author_facet van Meulen, Fokke B.
Weenk, Dirk
Buurke, Jaap H.
van Beijnum, Bert-Jan F.
Veltink, Peter H.
author_sort van Meulen, Fokke B.
collection PubMed
description BACKGROUND: For optimal guidance of walking rehabilitation therapy of stroke patients in an in-home setting, a small and easy to use wearable system is needed. In this paper we present a new shoe-integrated system that quantifies walking balance during activities of daily living and is not restricted to a lab environment. Quantitative parameters were related to clinically assessed level of balance in order to assess the additional information they provide. METHODS: Data of 13 participants who suffered a stroke were recorded while walking 10 meter trials and wearing special instrumented shoes. The data from 3D force and torque sensors, 3D inertial sensors and ultrasound transducers were fused to estimate 3D (relative) position, velocity, orientation and ground reaction force of each foot. From these estimates, center of mass and base of support were derived together with a dynamic stability margin, which is the (velocity) extrapolated center of mass with respect to the front-line of the base of support in walking direction. Additionally, for each participant step lengths and stance times for both sides as well as asymmetries of these parameters were derived. RESULTS: Using the proposed shoe-integrated system, a complete reconstruction of the kinematics and kinetics of both feet during walking can be made. Dynamic stability margin and step length symmetry were not significantly correlated with Berg Balance Scale (BBS) score, but participants with a BBS score below 45 showed a small-positive dynamic stability margin and more asymmetrical step lengths. More affected participants, having a lower BBS score, have a lower walking speed, make smaller steps, longer stance times and have more asymmetrical stance times. CONCLUSIONS: The proposed shoe-integrated system and data analysis methods can be used to quantify daily-life walking performance and walking balance, in an ambulatory setting without the use of a lab restricted system. The presented system provides additional insight about the balance mechanism, via parameters describing walking patterns of an individual subject. This information can be used for patient specific and objective evaluation of walking balance and a better guidance of therapies during the rehabilitation. TRIAL REGISTRATION: The study protocol is a subset of a larger protocol and registered in the Netherlands Trial Registry, number NTR3636.
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spelling pubmed-48739952016-05-21 Ambulatory assessment of walking balance after stroke using instrumented shoes van Meulen, Fokke B. Weenk, Dirk Buurke, Jaap H. van Beijnum, Bert-Jan F. Veltink, Peter H. J Neuroeng Rehabil Research BACKGROUND: For optimal guidance of walking rehabilitation therapy of stroke patients in an in-home setting, a small and easy to use wearable system is needed. In this paper we present a new shoe-integrated system that quantifies walking balance during activities of daily living and is not restricted to a lab environment. Quantitative parameters were related to clinically assessed level of balance in order to assess the additional information they provide. METHODS: Data of 13 participants who suffered a stroke were recorded while walking 10 meter trials and wearing special instrumented shoes. The data from 3D force and torque sensors, 3D inertial sensors and ultrasound transducers were fused to estimate 3D (relative) position, velocity, orientation and ground reaction force of each foot. From these estimates, center of mass and base of support were derived together with a dynamic stability margin, which is the (velocity) extrapolated center of mass with respect to the front-line of the base of support in walking direction. Additionally, for each participant step lengths and stance times for both sides as well as asymmetries of these parameters were derived. RESULTS: Using the proposed shoe-integrated system, a complete reconstruction of the kinematics and kinetics of both feet during walking can be made. Dynamic stability margin and step length symmetry were not significantly correlated with Berg Balance Scale (BBS) score, but participants with a BBS score below 45 showed a small-positive dynamic stability margin and more asymmetrical step lengths. More affected participants, having a lower BBS score, have a lower walking speed, make smaller steps, longer stance times and have more asymmetrical stance times. CONCLUSIONS: The proposed shoe-integrated system and data analysis methods can be used to quantify daily-life walking performance and walking balance, in an ambulatory setting without the use of a lab restricted system. The presented system provides additional insight about the balance mechanism, via parameters describing walking patterns of an individual subject. This information can be used for patient specific and objective evaluation of walking balance and a better guidance of therapies during the rehabilitation. TRIAL REGISTRATION: The study protocol is a subset of a larger protocol and registered in the Netherlands Trial Registry, number NTR3636. BioMed Central 2016-05-19 /pmc/articles/PMC4873995/ /pubmed/27198134 http://dx.doi.org/10.1186/s12984-016-0146-5 Text en © van Meulen et al. 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
van Meulen, Fokke B.
Weenk, Dirk
Buurke, Jaap H.
van Beijnum, Bert-Jan F.
Veltink, Peter H.
Ambulatory assessment of walking balance after stroke using instrumented shoes
title Ambulatory assessment of walking balance after stroke using instrumented shoes
title_full Ambulatory assessment of walking balance after stroke using instrumented shoes
title_fullStr Ambulatory assessment of walking balance after stroke using instrumented shoes
title_full_unstemmed Ambulatory assessment of walking balance after stroke using instrumented shoes
title_short Ambulatory assessment of walking balance after stroke using instrumented shoes
title_sort ambulatory assessment of walking balance after stroke using instrumented shoes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873995/
https://www.ncbi.nlm.nih.gov/pubmed/27198134
http://dx.doi.org/10.1186/s12984-016-0146-5
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