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dc.contributor.authorSalahuddin, Saqib
dc.contributor.authorPorter, Emily
dc.contributor.authorMeaney, Paul M.
dc.contributor.authorO'Halloran, Martin
dc.date.accessioned2017-05-26T11:09:53Z
dc.date.issued2017-02-03
dc.identifier.citationSaqib, Salahuddin, Emily, Porter, Paul, M. Meaney, & Martin, O’Halloran. (2017). Effect of logarithmic and linear frequency scales on parametric modelling of tissue dielectric data. Biomedical Physics & Engineering Express, 3(1), 015020.en_IE
dc.identifier.issn2057-1976
dc.identifier.urihttp://hdl.handle.net/10379/6549
dc.description.abstractThe dielectric properties of biological tissues have been studied widely over the past half-century. These properties are used in a vast array of applications, from determining the safety of wireless telecommunication devices to the design and optimisation of medical devices. The frequency-dependent dielectric properties are represented in closed-form parametric models, such as the Coleâ Cole model, for use in numerical simulations which examine the interaction of electromagnetic (EM) fields with the human body. In general, the accuracy of EM simulations depends upon the accuracy of the tissue dielectric models. Typically, dielectric properties are measured using a linear frequency scale; however, use of the logarithmic scale has been suggested historically to be more biologically descriptive. Thus, the aim of this paper is to quantitatively compare the Coleâ Cole fitting of broadband tissue dielectric measurements collected with both linear and logarithmic frequency scales. In this way, we can determine if appropriate choice of scale can minimise the fit error and thus reduce the overall error in simulations. Using a well-established fundamental statistical framework, the results of the fitting for both scales are quantified. It is found that commonly used performance metrics, such as the average fractional error, are unable to examine the effect of frequency scale on the fitting results due to the averaging effect that obscures large localised errors. This work demonstrates that the broadband fit for these tissues is quantitatively improved when the given data is measured with a logarithmic frequency scale rather than a linear scale, underscoring the importance of frequency scale selection in accurate wideband dielectric modelling of human tissues.en_IE
dc.description.sponsorshipThe research leading to these results has received funding from the European Research Council under the ERC Grant Agreement n. 637780: 'BIOELECPRO'. This work is also supported by the Irish Research Council (grant numbers RCS1325 and RCS1377) and the National Institute of Health/National Cancer Institute (grant number R01-CA191227-01). This work has been developed in the framework of COST Action MiMed (TD1301).en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherIOP Publishingen_IE
dc.relation.ispartofBiomedical Physics & Engineering Expressen
dc.subjectTissue dielectric dataen_IE
dc.subjectTissue dielectric propertiesen_IE
dc.subjectLogarithmic frequency scaleen_IE
dc.subjectParametric modellingen_IE
dc.subjectCole–Coleen_IE
dc.subjectResidual analysisen_IE
dc.titleEffect of logarithmic and linear frequency scales on parametric modelling of tissue dielectric dataen_IE
dc.typeArticleen_IE
dc.date.updated2017-05-26T10:35:13Z
dc.identifier.doi10.1088/2057-1976/aa59db
dc.local.publishedsourcehttps://doi.org/10.1088/2057-1976/aa59dben_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|
dc.description.embargo2018-02-03
dc.internal.rssid12650338
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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