Parametric design of orthotics for abnormal arches in school-age children
Pages 65 - 68
Abstract
High arches and flat feet are easy to appear in the developing stage of school-age children's arches, which have sustained adverse effects on children's gait and even induce other foot diseases. Therefore, it is of great significance to correct abnormal arches. In this study, a parameterized design method for orthotics was proposed. Firstly, the abnormal arches were identified by foot pressure test. Secondly, the morphological parameters of the abnormal arch were obtained by three-dimensional scanning, and redundant data such as broken surface and noise points were processed in the Geomagic software, and the processed data was encapsulated. Finally, the NUBRS curves and surfaces of the arch morphology were reconstructed with Rhino software, and the orthotics were designed according to the complete and accurate 3D model data of the arch. The research results provide theoretical basis and practical reference for the design of similar products. Its advantages are: The reverse design of orthotics was carried out. Its advantages are: Improve the wear matching degree between school-age children and orthopedic equipment to help patients recover. Reduce the development cycle and cost of orthopedic equipment. More personalized customization options are provided.
References
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Nurzynska D, Di Meglio F, Castaldo C, Flatfoot in children: anatomy of decision making [J]. Ital J Anat Embryol, 2012, 117(2): 98-106.
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Zongxue Jin. Effect and mechanism of orthopedic insole and exercise intervention on flat foot correction in boys aged 9-10 years. Beijing Sport University, 2018.
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Yunqian Wang and Xupeng Wang. Design and experimental research of flatfoot orthosis Classification, experiment and application of flatfoot orthosis for different groups of people. In Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences (ISAIMS 2021). Association for Computing Machinery, New York, NY, USA, 274–283, 2021.
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Xinyao Tang, Xupeng Wang, Xiaomin Ji, Study on foot-type classification for young adults based on static and dynamic plantar pressure distribution [J]. Mechanical Engineering 2022, 14(5),1-11.
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Hongjie Chen, Yuanzhenzi Pan, Jiaxin Zhao, Research on identification of abnormal foot arch in school-age children based on foot pressure analysis. In Proceedings of the 3nd International Symposium on Artificial Intelligence for Medicine Sciences (ISAIMS 2022). NY, USA, 2022, 47-51.
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Published In
February 2023
398 pages
ISBN:9798400700200
DOI:10.1145/3592686
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 31 May 2023
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BIC 2023
BIC 2023: 2023 3rd International Conference on Bioinformatics and Intelligent Computing
February 10 - 12, 2023
Sanya, China
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