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Preliminary Clinical Application of Textile Insole Sensor for Hemiparetic Gait Pattern Analysis

Post-stroke gait dysfunction occurs at a very high prevalence. A practical method to quantitatively analyze the characteristics of hemiparetic gait is needed in both clinical and community settings. This study developed a 10-channeled textile capacitive pressure sensing insole (TCPSI) with a real-ti...

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Autores principales: Wang, Changwon, Kim, Young, Shin, Hangsik, Min, Se Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767662/
https://www.ncbi.nlm.nih.gov/pubmed/31547437
http://dx.doi.org/10.3390/s19183950
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author Wang, Changwon
Kim, Young
Shin, Hangsik
Min, Se Dong
author_facet Wang, Changwon
Kim, Young
Shin, Hangsik
Min, Se Dong
author_sort Wang, Changwon
collection PubMed
description Post-stroke gait dysfunction occurs at a very high prevalence. A practical method to quantitatively analyze the characteristics of hemiparetic gait is needed in both clinical and community settings. This study developed a 10-channeled textile capacitive pressure sensing insole (TCPSI) with a real-time monitoring system and tested its performance through hemiparetic gait pattern analysis. Thirty-five subjects (18 hemiparetic, 17 healthy) walked down a 40-m long corridor at a comfortable speed while wearing TCPSI inside the shoe. For gait analysis, the percentage of the plantar pressure difference (PPD), the step count, the stride time, the coefficient of variation, and the phase coordination index (PCI) were used. The results of the stroke patients showed a threefold higher PPD, a higher step count (41.61 ± 10.7), a longer average stride time on the affected side, a lower mean plantar pressure on the affected side, higher plantar pressure in the toe area and the lateral side of the foot, and a threefold higher PCI (hemi: 19.50 ± 13.86%, healthy: 5.62 ± 5.05%) compared to healthy subjects. This study confirmed that TCPSI is a promising tool for distinguishing hemiparetic gait patterns and thus may be used as a wearable gait function evaluation tool, the external feedback gait training device, and a simple gait pattern analyzer for both hemiparetic patients and healthy individuals.
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spelling pubmed-67676622019-10-02 Preliminary Clinical Application of Textile Insole Sensor for Hemiparetic Gait Pattern Analysis Wang, Changwon Kim, Young Shin, Hangsik Min, Se Dong Sensors (Basel) Article Post-stroke gait dysfunction occurs at a very high prevalence. A practical method to quantitatively analyze the characteristics of hemiparetic gait is needed in both clinical and community settings. This study developed a 10-channeled textile capacitive pressure sensing insole (TCPSI) with a real-time monitoring system and tested its performance through hemiparetic gait pattern analysis. Thirty-five subjects (18 hemiparetic, 17 healthy) walked down a 40-m long corridor at a comfortable speed while wearing TCPSI inside the shoe. For gait analysis, the percentage of the plantar pressure difference (PPD), the step count, the stride time, the coefficient of variation, and the phase coordination index (PCI) were used. The results of the stroke patients showed a threefold higher PPD, a higher step count (41.61 ± 10.7), a longer average stride time on the affected side, a lower mean plantar pressure on the affected side, higher plantar pressure in the toe area and the lateral side of the foot, and a threefold higher PCI (hemi: 19.50 ± 13.86%, healthy: 5.62 ± 5.05%) compared to healthy subjects. This study confirmed that TCPSI is a promising tool for distinguishing hemiparetic gait patterns and thus may be used as a wearable gait function evaluation tool, the external feedback gait training device, and a simple gait pattern analyzer for both hemiparetic patients and healthy individuals. MDPI 2019-09-12 /pmc/articles/PMC6767662/ /pubmed/31547437 http://dx.doi.org/10.3390/s19183950 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Changwon
Kim, Young
Shin, Hangsik
Min, Se Dong
Preliminary Clinical Application of Textile Insole Sensor for Hemiparetic Gait Pattern Analysis
title Preliminary Clinical Application of Textile Insole Sensor for Hemiparetic Gait Pattern Analysis
title_full Preliminary Clinical Application of Textile Insole Sensor for Hemiparetic Gait Pattern Analysis
title_fullStr Preliminary Clinical Application of Textile Insole Sensor for Hemiparetic Gait Pattern Analysis
title_full_unstemmed Preliminary Clinical Application of Textile Insole Sensor for Hemiparetic Gait Pattern Analysis
title_short Preliminary Clinical Application of Textile Insole Sensor for Hemiparetic Gait Pattern Analysis
title_sort preliminary clinical application of textile insole sensor for hemiparetic gait pattern analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767662/
https://www.ncbi.nlm.nih.gov/pubmed/31547437
http://dx.doi.org/10.3390/s19183950
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