Study on foot-type classification for young adults based on static and dynamic plantar pressure distribution
| Autor: | Xinyao Tang, Xupeng Wang, Xiaomin Ji, Yunqian Wang, Wenhui Chen, Yuchen Wei, Yawen Zhou |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Advances in Mechanical Engineering, Vol 14 (2022) |
| Druh dokumentu: | article |
| ISSN: | 1687-8140 16878132 |
| DOI: | 10.1177/16878132221097904 |
| Popis: | The application of an effective and reliable foot type classification method is very important for foot type judgment, injury risk assessment, and correction. Therefore, this paper mainly aims to propose a new foot type classification method for young people based on bitmap index (BI), compare it with the traditional footprint classification method, and put forward and analyze the factors affecting foot type classification. Thirty-one healthy volunteers were asked to perform two types tests in order to study the plantar pressure distribution with static and dynamic conditions, the first type is footprint test with full load of static, and the other type is plantar pressure distribution, which contains four different tests: no load, half load, and full load of static state, as well as dynamic plantar pressure distribution during process of walking. The Intraclass Correlation Coefficient results (ICC) were good reliable and reproducible for BI value with dynamic test (DT-BI value 0.738, 95% confidence interval [0.535, 0.848], α = 0 . 768 ) and full-load (FL-BI value 0.725 [0.281, 0.814], α = 0 . 725 , p |
| Databáze: | Directory of Open Access Journals |
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