Parameter Identification Methods in a Model of the Cardiovascular System

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dc.contributor.authorPironet, A.
dc.contributor.authorDesaive, T.
dc.contributor.authorDauby, P.C.
dc.contributor.authorChase, Geoff
dc.contributor.authorDocherty, P.D.
dc.date.accessioned2016-06-20T00:41:17Z
dc.date.available2016-06-20T00:41:17Z
dc.date.issued2015en
dc.description.abstractTo be clinically relevant, mathematical models have to be patient-specific, meaning that their parameters have to be identified from patient data. To achieve real time monitoring, it is important to select the best parameter identification method, in terms of speed, efficiency and reliability. This work presents a comparison of seven parameter identification methods applied to a lumped-parameter cardiovascular system model. The seven methods are tested using in silico and experimental reference data. To do so, precise formulae for initial parameter values first had to be developed. The test results indicate that the trust-region reflective method seems to be the best method for the present model. This method (and the proportional method) are able to perform parameter identification in two to three minutes, and will thus benefit cardiac and vascular monitoring applicationsen
dc.identifier.citationPironet, A., Desaive, T., Dauby, P.C., Chase, J.G., Docherty, P.D. (2015) Parameter Identification Methods in a Model of the Cardiovascular System. Berlin, Germany: 9th IFAC Symposium on Biological and Medical Systems (BMS 2015), 31 Aug-2 Sep 2015.en
dc.identifier.urihttp://hdl.handle.net/10092/12321
dc.language.isoen
dc.publisherUniversity of Canterbury. Mechanical Engineeringen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjectparameter identificationen
dc.subjectmathematical modelsen
dc.subjectbiomedical systemsen
dc.subjectmedical applicationsen
dc.subject.anzsrcFields of Research::40 - Engineering::4003 - Biomedical engineering::400303 - Biomechanical engineeringen
dc.subject.anzsrcField of Research::11 - Medical and Health Sciences::1102 - Cardiovascular Medicine and Haematologyen
dc.titleParameter Identification Methods in a Model of the Cardiovascular Systemen
dc.typeConference Contributions - Published
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