{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T02:35:23Z","timestamp":1770518123492,"version":"3.49.0"},"reference-count":51,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T00:00:00Z","timestamp":1568246400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Science and ICT, Republic of Korea","award":["NRF-2015M3A9D7067388"],"award-info":[{"award-number":["NRF-2015M3A9D7067388"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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 \u00b1 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 \u00b1 13.86%, healthy: 5.62 \u00b1 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.<\/jats:p>","DOI":"10.3390\/s19183950","type":"journal-article","created":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T10:56:06Z","timestamp":1568285766000},"page":"3950","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Preliminary Clinical Application of Textile Insole Sensor for Hemiparetic Gait Pattern Analysis"],"prefix":"10.3390","volume":"19","author":[{"given":"Changwon","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Medical IT Engineering, Soonchunhyang University, Asan 31538, Korea"},{"name":"Department of Computer Science, Soonchunhyang University, Asan 31538, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0043-1623","authenticated-orcid":false,"given":"Young","family":"Kim","sequence":"additional","affiliation":[{"name":"Wellness Coaching Service Research Center, Soonchunhyang University, Asan 31538, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8095-356X","authenticated-orcid":false,"given":"Hangsik","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Chonnam National University, Yeosu 59626, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Se Dong","family":"Min","sequence":"additional","affiliation":[{"name":"Department of Medical IT Engineering, Soonchunhyang University, Asan 31538, Korea"},{"name":"Department of Computer Science, Soonchunhyang University, Asan 31538, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,9,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Moseleyt, A.M., Stark, A., Cameron, I.D., and Pollock, A. 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