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dc.contributor.authorSalahuddin, Saqib
dc.contributor.authorPorter, Emily
dc.contributor.authorKrewer, Finn
dc.contributor.authorO’Halloran, Martin
dc.date.accessioned2017-05-29T08:13:52Z
dc.date.issued2017-02-09
dc.identifier.citationSalahuddin, Saqib, Porter, Emily, Krewer, Finn, & O’ Halloran, Martin. (2017). Optimised analytical models of the dielectric properties of biological tissue. Medical Engineering & Physics, 43, 103-111. doi: https://doi.org/10.1016/j.medengphy.2017.01.017en_IE
dc.identifier.issn1873-4030
dc.identifier.issn1350-4533
dc.identifier.urihttp://hdl.handle.net/10379/6550
dc.description.abstractThe interaction of electromagnetic fields with the human body is quantified by the dielectric properties of biological tissues. These properties are incorporated into complex numerical simulations using parametric models such as Debye and Cole-Cole, for the computational investigation of electromagnetic wave propagation within the body. These parameters can be acquired through a variety of optimisation algorithms to achieve an accurate fit to measured data sets. A number of different optimisation techniques have been proposed, but these are often limited by the requirement for initial value estimations or by the large overall error (often up to several percentage points). In this work, a novel two-stage genetic algorithm proposed by the authors is applied to optimise the multi-pole Debye parameters for 54 types of human tissues. The performance of the two-stage genetic algorithm has been examined through a comparison with five other existing algorithms. The experimental results demonstrate that the two-stage genetic algorithm produces an accurate fit to a range of experimental data and efficiently out-performs all other optimisation algorithms under consideration. Accurate values of the three-pole Debye models for 54 types of human tissues, over 500 MHz to 20 GHz, are also presented for reference.en_IE
dc.description.sponsorshipThis work is supported by Irish Research Council (grant numbers RCS1325 and RCS1377) and has been developed in the framework of COST Action MiMed.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherElsevieren_IE
dc.relation.ispartofMedical Engineering & Physicsen
dc.subjectDielectric propertiesen_IE
dc.subjectOptimisationen_IE
dc.subjectParametric modelsen_IE
dc.subjectGenetic algorithmen_IE
dc.titleOptimised analytical models of the dielectric properties of biological tissueen_IE
dc.typeArticleen_IE
dc.date.updated2017-05-26T10:35:56Z
dc.identifier.doi10.1016/j.medengphy.2017.01.017
dc.local.publishedsourcehttps://doi.org/10.1016/j.medengphy.2017.01.017en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|
dc.description.embargo2018-02-09
dc.internal.rssid12650334
dc.local.contactMartin O'Halloran, School Of E&I/School Of Medicine, Nui Galway. 5072 Email: martin.ohalloran@nuigalway.ie
dc.local.copyrightcheckedNo
dc.local.versionACCEPTED
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