Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/7669
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dc.contributor.advisorBrown, C-
dc.contributor.advisorHobson, PR-
dc.contributor.authorSinclair, Rhona Ann-
dc.date.accessioned2013-10-15T18:35:41Z-
dc.date.available2013-10-15T18:35:41Z-
dc.date.issued2011-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/7669-
dc.descriptionThis thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.en_US
dc.description.abstractLimb lengthening procedures use fixation devices to extend the constantly regenerating bone and surrounding soft tissues. Automated devices have been developed that aim to provide a more gradual tissue extension, resulting in better quality of treatment for the patient. Benefits include pain reduction and probable enhanced tissue outcomes. The development of one such new smart lengthening device is described. An integrated numerical model of tissue mechanics during lengthening is presented. It represents the mechanical environment in which the devices extend. The mechanism of the automated device is also modelled using Matlab software and validation was achieved through experimental testing. Validation of the tissue model includes the design of an experimental hydraulic system with the ability to control the peak loads and relaxation over time. A simplified mechanobiological model for the longer term healing effects is proposed. Calibration of the tissue model to clinical data allows for direct comparison of the load and extension of identical tissues, one being lengthened by a traditional device, the other an automated device. This simulation can be extended to include a range of lengthening rates and frequencies of distraction alongside various patient dependent tissue properties. The models also provide the opportunity to assess the effects of iterative changes to the device parameters (such as stiffness) on its performance as well as analyse the effect that these changes have on tissue extension and loading. Use of these models to optimise the device design alongside optimisation of the extension regime can result in improved device design and consequently improved patient outcomes.en_US
dc.language.isoenen_US
dc.publisherBrunel University School of Engineering and Design PhD Theses-
dc.relation.urihttp://bura.brunel.ac.uk/bitstream/2438/7669/1/FulltextThesis.pdf-
dc.subjectDistraction osteogensisen_US
dc.subjectIlizaroven_US
dc.subjectBone lengtheningen_US
dc.subjectCallus distractionen_US
dc.titlePre-clinical evaluation of the forces during limb lengthening using manual and automated devicesen_US
dc.typeThesisen_US
Appears in Collections:Mechanical and Aerospace Engineering
Dept of Mechanical and Aerospace Engineering Theses

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