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dc.contributor.authorSilvestros, P
dc.contributor.authorPreatoni, E
dc.contributor.authorGill, HS
dc.contributor.authorGheduzzi, S
dc.contributor.authorHernandez, BA
dc.contributor.authorHolsgrove, TP
dc.contributor.authorCazzola, D
dc.date.accessioned2019-06-17T10:22:17Z
dc.date.issued2019-05-09
dc.description.abstractHead collisions in sport can result in catastrophic injuries to the cervical spine. Musculoskeletal modelling can help analyse the relationship between motion, external forces and internal loads that lead to injury. However, impact specific musculoskeletal models are lacking as current viscoelastic values used to describe cervical spine joint dynamics have been obtained from unrepresentative quasi-static or static experiments. The aim of this study was to develop and validate a cervical spine musculoskeletal model for use in axial impacts. Cervical spine specimens (C2-C6) were tested under measured sub-catastrophic loads and the resulting 3D motion of the vertebrae was measured. Specimen specific musculoskeletal models were then created and used to estimate the axial and shear viscoelastic (stiffness and damping) properties of the joints through an optimisation algorithm that minimised tracking errors between measured and simulated kinematics. A five-fold cross validation and a Monte Carlo sensitivity analysis were conducted to assess the performance of the newly estimated parameters. The impact-specific parameters were integrated in a population specific musculoskeletal model and used to assess cervical spine loads measured from Rugby union impacts compared to available models. Results of the optimisation showed a larger increase of axial joint stiffness compared to axial damping and shear viscoelastic parameters for all models. The sensitivity analysis revealed that lower values of axial stiffness and shear damping reduced the models performance considerably compared to other degrees of freedom. The impact-specific parameters integrated in the population specific model estimated more appropriate joint displacements for axial head impacts compared to available models and are therefore more suited for injury mechanism analysis.en_GB
dc.description.sponsorshipRugby Football Union (RFU) Injured Players Foundationen_GB
dc.identifier.citationVol. 14 (5): e0216663.en_GB
dc.identifier.doi10.1371/journal.pone.0216663
dc.identifier.urihttp://hdl.handle.net/10871/37551
dc.language.isoenen_GB
dc.publisherPublic Library of Scienceen_GB
dc.rightsCopyright: © 2019 Silvestros et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_GB
dc.subjectskeletal jointsen_GB
dc.subjectstiffnessen_GB
dc.subjectspineen_GB
dc.subjectkinematicsen_GB
dc.subjectmusculoskeletal injuryen_GB
dc.subjectoptimizationen_GB
dc.subjectvertebraeen_GB
dc.titleMusculoskeletal modelling of the human cervical spine for the investigation of injury mechanisms during axial impactsen_GB
dc.typeArticleen_GB
dc.date.available2019-06-17T10:22:17Z
dc.descriptionThis is the final version. Available from Public Library of Science via the DOI in this record.en_GB
dc.descriptionAll relevant data are available at Figshare [https://figshare.com/projects/SILVESTROS_PLOS_ONE_SUPPORTING_DOCUMENTS/58280] and musculoskeletal models and relevant project information is available on the OpenSim SimTK repository [https://simtk.org/projects/csibath].en_GB
dc.identifier.eissn1932-6203
dc.identifier.journalPLoS ONEen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-04-25
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-04-25
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-06-17T10:19:12Z
refterms.versionFCDVoR
refterms.dateFOA2019-06-17T10:22:20Z
refterms.panelBen_GB


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Copyright: © 2019 Silvestros et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Except where otherwise noted, this item's licence is described as Copyright: © 2019 Silvestros et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.