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Key considerations for finite element modelling of the residuum-prosthetic socket interface - 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 Key considerations for finite element modelling of the residuum-prosthetic socket interface Key considerations for finite element modelling of the residuum-prosthetic socket interface Key considerations for finite element modelling of the residuum-prosthetic socket interface Study Design: Computational modelling Background: Finite element (FE) modelling has long been proposed to support prosthetic socket design. However, there is minimal detail in the literature to inform practice in developing and interpreting these complex, highly non-linear models. Objectives: To identify best practice recommendations for FE modelling of lower limb prosthetics, considering key modelling approaches and inputs. Methods: This study developed a parametric FE model using MRI data from a transtibial amputee. Comparative analyses were performed considering socket loading methods, socket-residuum interface parameters and soft tissue material models from the literature, to quantify their effect on the residual limb’s biomechanical response to a range of parameterised socket designs. Results: These variables had a marked impact on the FE model’s predictions for limb-socket interface pressure and soft tissue shear distribution. Conclusions: All modelling decisions should be justified biomechanically and clinically. In order to represent the prosthetic loading scenario in-silico, researchers should: - consider the effects of donning and interface friction to capture the generated soft tissue shear stresses - use representative stiffness hyperelastic material models for soft tissues when using strain to predict injury; and - interrogate models comparatively, against a clinically-used control. Clinical Relevance: Recommendations for future FE models of residual limb-prosthetic socket interface are proposed, to assist researchers in building these models and clinicians in appraising them. Any clinical application of the predictions generated by these models must be rigorously scrutinised. 10.31224/osf.io/k8dsg 0309-3646 138-146 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 April 2021 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 (2021) Key considerations for finite element modelling of the residuum-prosthetic socket interface. Prosthetics and Orthotics International, 45 (2), 138-146. (doi:10.31224/osf.io/k8dsg). Record type: Article Abstract Study Design: Computational modelling Background: Finite element (FE) modelling has long been proposed to support prosthetic socket design. However, there is minimal detail in the literature to inform practice in developing and interpreting these complex, highly non-linear models. Objectives: To identify best practice recommendations for FE modelling of lower limb prosthetics, considering key modelling approaches and inputs. Methods: This study developed a parametric FE model using MRI data from a transtibial amputee. Comparative analyses were performed considering socket loading methods, socket-residuum interface parameters and soft tissue material models from the literature, to quantify their effect on the residual limb’s biomechanical response to a range of parameterised socket designs. Results: These variables had a marked impact on the FE model’s predictions for limb-socket interface pressure and soft tissue shear distribution. Conclusions: All modelling decisions should be justified biomechanically and clinically. In order to represent the prosthetic loading scenario in-silico, researchers should: - consider the effects of donning and interface friction to capture the generated soft tissue shear stresses - use representative stiffness hyperelastic material models for soft tissues when using strain to predict injury; and - interrogate models comparatively, against a clinically-used control. Clinical Relevance: Recommendations for future FE models of residual limb-prosthetic socket interface are proposed, to assist researchers in building these models and clinicians in appraising them. Any clinical application of the predictions generated by these models must be rigorously scrutinised. Full text not available from this repository. More information In preparation date: 8 November 2019 Submitted date: 14 November 2019 Accepted/In Press date: 29 September 2020 Published date: April 2021 Learn more about Institute for Life Sciences research Identifiers Local EPrints ID: 439468 URI: http://eprints.soton.ac.uk/id/eprint/439468 DOI: doi:10.31224/osf.io/k8dsg ISSN: 0309-3646 PURE UUID: dd8dfda8-7e02-4d1c-89e4-786c47706e47 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: 23 Apr 2020 16:54 Last modified: 14 Apr 2021 02:01 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 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 > Physiotherapy School of Health Sciences > Allied Health Professions > Physiotherapy Current Faculties > Faculty of Engineering and Physical Sciences > School of Engineering > Mechanical Engineering > Bioengineering Group Mechanical Engineering > Bioengineering Group Download statistics Downloads from ePrints over the past year. 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