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dc.contributor.authorBarnes, Josef P
dc.contributor.authorJohnston, Peter R
dc.date.accessioned2018-06-18T01:30:24Z
dc.date.available2018-06-18T01:30:24Z
dc.date.issued2016
dc.identifier.issn0010-4825
dc.identifier.doi10.1016/j.compbiomed.2015.12.011
dc.identifier.urihttp://hdl.handle.net/10072/99528
dc.description.abstractRobust Generalised Cross-Validation was proposed recently as a method for determining near optimal regularisation parameters in inverse problems. It was introduced to overcome a problem with the regular Generalised Cross-Validation method in which the function that is minimised to obtain the regularisation parameter often has a broad, flat minimum, resulting in a poor estimate for the parameter. The robust method defines a new function to be minimised which has a narrower minimum, but at the expense of introducing a new parameter called the robustness parameter. In this study, the Robust Generalised Cross-Validation method is applied to the inverse problem of electrocardiology. It is demonstrated that, for realistic situations, the robustness parameter can be set to zero. With this choice of robustness parameter, it is shown that the robust method is able to obtain estimates of the regularisation parameter in the inverse problem of electrocardiology that are comparable to, or better than, many of the standard methods that are applied to this inverse problem.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom213
dc.relation.ispartofpageto225
dc.relation.ispartofjournalComputers in Biology and Medicine
dc.relation.ispartofvolume69
dc.subject.fieldofresearchBiological mathematics
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchBiomedical and clinical sciences
dc.subject.fieldofresearchcode490102
dc.subject.fieldofresearchcode40
dc.subject.fieldofresearchcode32
dc.titleApplication of Robust Generalised Cross-Validation to the Inverse Problem of Electrocardiology
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, School of Natural Sciences
gro.hasfulltextNo Full Text
gro.griffith.authorJohnston, Peter R.
gro.griffith.authorBarnes, Josef P.


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