Predictive prosthetic socket design: Part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven surrogate modelling - ePrints Soton The University of Southampton Courses University life Research Business Global About Visit Alumni Departments News Events Contact × Search the SiteSearch Filter your search: All Courses Projects Staff University of Southampton Institutional Repository Search Advanced Search Policies & Help Latest Download Statistics Browse by Year Browse by Divisions LeftRight Predictive prosthetic socket design: Part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven surrogate modelling Predictive prosthetic socket design: Part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven surrogate modelling Predictive prosthetic socket design: Part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven surrogate modelling It has been proposed that Finite Element Analysis can complement clinical decision making for the appropriate design and manufacture of prosthetic sockets for amputees. However, clinical translation has not been achieved, in part due to lengthy solver times and the complexity involved in model development. In this study, a parametric model informed by variation in i) population-driven residuum shape morphology, ii) soft tissue compliance and iii) prosthetic socket design was created. A Kriging surrogate model was fitted to the response of the analyses across the design space enabling prediction for new residual limb morphologies and socket designs. It was predicted that morphological variability and prosthetic socket design had a substantial effect on socket-limb interfacial pressure and shear conditions as well as sub-dermal soft tissue strains. These relationships were investigated with a higher resolution of anatomical, surgical and design variability than previously reported, with a reduction in computational expense of six orders of magnitude. This enabled real-time predictions (1.6ms) with error vs the analytical solutions (<4 kPa in pressure at residuum tip, and <3% in soft tissue strain). As such, this framework represents a substantial step towards implementation of Finite Element Analysis in the prosthetics clinic. 10.1007/s10237-019-01195-5 1617-7959 1331-1346 Steer, Joshua b958f526-9782-4e36-9c49-ad48e8f650ed Worsley, Peter 6d33aee3-ef43-468d-aef6-86d190de6756 Browne, Martin 6578cc37-7bd6-43b9-ae5c-77ccb7726397 Dickinson, Alexander 10151972-c1b5-4f7d-bc12-6482b5870cad August 2019 Steer, Joshua b958f526-9782-4e36-9c49-ad48e8f650ed Worsley, Peter 6d33aee3-ef43-468d-aef6-86d190de6756 Browne, Martin 6578cc37-7bd6-43b9-ae5c-77ccb7726397 Dickinson, Alexander 10151972-c1b5-4f7d-bc12-6482b5870cad Steer, Joshua, Worsley, Peter, Browne, Martin and Dickinson, Alexander (2019) Predictive prosthetic socket design: Part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven surrogate modelling. Biomechanics and Modeling in Mechanobiology, 19 (4), 1331-1346. (doi:10.1007/s10237-019-01195-5). Record type: Article Abstract It has been proposed that Finite Element Analysis can complement clinical decision making for the appropriate design and manufacture of prosthetic sockets for amputees. However, clinical translation has not been achieved, in part due to lengthy solver times and the complexity involved in model development. In this study, a parametric model informed by variation in i) population-driven residuum shape morphology, ii) soft tissue compliance and iii) prosthetic socket design was created. A Kriging surrogate model was fitted to the response of the analyses across the design space enabling prediction for new residual limb morphologies and socket designs. It was predicted that morphological variability and prosthetic socket design had a substantial effect on socket-limb interfacial pressure and shear conditions as well as sub-dermal soft tissue strains. These relationships were investigated with a higher resolution of anatomical, surgical and design variability than previously reported, with a reduction in computational expense of six orders of magnitude. This enabled real-time predictions (1.6ms) with error vs the analytical solutions (<4 kPa in pressure at residuum tip, and <3% in soft tissue strain). As such, this framework represents a substantial step towards implementation of Finite Element Analysis in the prosthetics clinic. Text Pre-Print-R1 - Author's Original Download (2MB) Text Pre-Print-R2 - Accepted Manuscript Available under License Creative Commons Attribution. Download (2MB) Text Steer 2019 BMMB TT Socket Surrogate Modelling - Version of Record Available under License Creative Commons Attribution. Download (4MB) More information Submitted date: 15 March 2019 Accepted/In Press date: 21 June 2019 e-pub ahead of print date: 29 June 2019 Published date: August 2019 Learn more about Institute for Life Sciences research Identifiers Local EPrints ID: 431942 URI: http://eprints.soton.ac.uk/id/eprint/431942 DOI: doi:10.1007/s10237-019-01195-5 ISSN: 1617-7959 PURE UUID: f6178d13-f17b-4ab0-925c-4c52c9f345e1 ORCID for Joshua Steer: orcid.org/0000-0002-6288-1347 ORCID for Peter Worsley: orcid.org/0000-0003-0145-5042 ORCID for Martin Browne: orcid.org/0000-0001-5184-050X ORCID for Alexander Dickinson: orcid.org/0000-0002-9647-1944 Catalogue record Date deposited: 21 Jun 2019 16:30 Last modified: 17 Mar 2021 05:02 Export record ASCII CitationAtomBibTeXData Cite XMLDublin CoreDublin CoreEP3 XMLEndNoteHTML CitationHTML CitationHTML ListJSONMETSMODSMPEG-21 DIDLOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLRIOXX2 XMLReferReference ManagerSimple Metadata Altmetrics Contributors Author: Joshua Steer Author: Peter Worsley Author: Martin Browne Author: Alexander Dickinson University divisions Current Faculties > Faculty of Engineering and Physical Sciences > School of Engineering > Mechanical Engineering Mechanical Engineering Faculties (pre 2018 reorg) > Faculty of Natural and Environmental Sciences (pre 2018 reorg) > Institute for Life Sciences (pre 2018 reorg) Current Faculties > Faculty of Environmental and Life Sciences > Institute for Life Sciences > Institute for Life Sciences (pre 2018 reorg) Institute for Life Sciences > Institute for Life Sciences (pre 2018 reorg) Current Faculties > Faculty of Environmental and Life Sciences > School of Health Sciences > Allied Health Professions School of Health Sciences > Allied Health Professions Download statistics Downloads from ePrints over the past year. 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