Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107433
DC Field | Value | Language |
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dc.contributor | Department of Biomedical Engineering | en_US |
dc.contributor | Mainland Development Office | en_US |
dc.contributor | Research Institute for Sports Science and Technology | en_US |
dc.creator | Peng, Y | en_US |
dc.creator | Wang, Y | en_US |
dc.creator | Zhang, Q | en_US |
dc.creator | Chen, SF | en_US |
dc.creator | Zhang, M | en_US |
dc.creator | Li, G | en_US |
dc.date.accessioned | 2024-06-24T02:52:16Z | - |
dc.date.available | 2024-06-24T02:52:16Z | - |
dc.identifier.issn | 0140-0118 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/107433 | - |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.rights | © The Author(s) 2024 | en_US |
dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
dc.rights | The following publication Peng, Y., Wang, Y., Zhang, Q. et al. Custom orthotic design by integrating 3D scanning and subject-specific FE modelling workflow. Med Biol Eng Comput 62, 2059–2071 (2024) is available at https://doi.org/10.1007/s11517-024-03067-2. | en_US |
dc.subject | Customized foot scaling | en_US |
dc.subject | Finite element analysis | en_US |
dc.subject | Foot orthosis | en_US |
dc.subject | Foot–ankle joint | en_US |
dc.title | Custom orthotic design by integrating 3D scanning and subject-specific FE modelling workflow | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 2059 | en_US |
dc.identifier.epage | 2071 | en_US |
dc.identifier.volume | 62 | en_US |
dc.identifier.issue | 7 | en_US |
dc.identifier.doi | 10.1007/s11517-024-03067-2 | en_US |
dcterms.abstract | The finite element (FE) foot model can help estimate pathomechanics and improve the customized foot orthoses design. However, the procedure of developing FE models can be time-consuming and costly. This study aimed to develop a subject-specific scaled foot modelling workflow for the foot orthoses design based on the scanned foot surface data. Six participants (twelve feet) were collected for the foot finite element modelling. The subject-specific surface-based finite element model (SFEM) was established by incorporating the scanned foot surface and scaled foot bone geometries. The geometric deviations between the scaled and the scanned foot surfaces were calculated. The SFEM model was adopted to predict barefoot and foot-orthosis interface pressures. The averaged distances between the scaled and scanned foot surfaces were 0.23 ± 0.09 mm. There was no significant difference for the hallux, medial forefoot, middle forefoot, midfoot, medial hindfoot, and lateral hindfoot, except for the lateral forefoot region (p = 0.045). The SFEM model evaluated slightly higher foot-orthoses interface pressure values than measured, with a maximum deviation of 7.1%. These results indicated that the SFEM technique could predict the barefoot and foot-orthoses interface pressure, which has the potential to expedite the process of orthotic design and optimization. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Medical and biological engineering and computing, July 2024, v. 62, no. 7, p. 2059-2071 | en_US |
dcterms.isPartOf | Medical and biological engineering and computing | en_US |
dcterms.issued | 2024-07 | - |
dc.identifier.scopus | 2-s2.0-85186864078 | - |
dc.identifier.pmid | 38446392 | - |
dc.identifier.eissn | 1741-0444 | en_US |
dc.description.validate | 202406 bcwh | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_TA | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Guangdong Basic and Applied Basic Research Foundation; Science and Technology Program of Guangdong Province; National Natural Science Foundation of China | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.TA | Springer Nature (2024) | en_US |
dc.description.oaCategory | TA | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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s11517-024-03067-2.pdf | 6.47 MB | Adobe PDF | View/Open |
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