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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6767662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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