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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| Format: | Article |
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MDPI AG
2019-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/18/3950 |
| _version_ | 1818037962326147072 |
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| author | Changwon Wang Young Kim Hangsik Shin Se Dong Min |
| author_facet | Changwon Wang Young Kim Hangsik Shin Se Dong Min |
| author_sort | Changwon Wang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-10T07:35:10Z |
| format | Article |
| id | doaj.art-6b8d5c72b42045f7a4a5243319d8a2f7 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T07:35:10Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6b8d5c72b42045f7a4a5243319d8a2f72022-12-22T01:57:27ZengMDPI AGSensors1424-82202019-09-011918395010.3390/s19183950s19183950Preliminary Clinical Application of Textile Insole Sensor for Hemiparetic Gait Pattern AnalysisChangwon Wang0Young Kim1Hangsik Shin2Se Dong Min3Department of Medical IT Engineering, Soonchunhyang University, Asan 31538, KoreaWellness Coaching Service Research Center, Soonchunhyang University, Asan 31538, KoreaDepartment of Biomedical Engineering, Chonnam National University, Yeosu 59626, KoreaDepartment of Medical IT Engineering, Soonchunhyang University, Asan 31538, KoreaPost-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.https://www.mdpi.com/1424-8220/19/18/3950conductive textilegaitstrokehemipareticreal-time monitoring |
| spellingShingle | Changwon Wang Young Kim Hangsik Shin Se Dong Min Preliminary Clinical Application of Textile Insole Sensor for Hemiparetic Gait Pattern Analysis Sensors conductive textile gait stroke hemiparetic real-time monitoring |
| 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 | conductive textile gait stroke hemiparetic real-time monitoring |
| url | https://www.mdpi.com/1424-8220/19/18/3950 |
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