Integral-based parameter identification for long-term dynamic verification of a glucose-insulin system model

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dc.contributor.authorHann, C.E.
dc.contributor.authorChase, Geoff
dc.contributor.authorLin, J.
dc.contributor.authorLotz, T.
dc.contributor.authorDoran, C.V.
dc.contributor.authorShaw, Geoff
dc.date.accessioned2007-07-18T20:59:26Z
dc.date.available2007-07-18T20:59:26Z
dc.date.issued2005en
dc.description.abstractHyperglycaemia in critically ill patients increases the risk of further complications and mortality. This paper introduces a model capable of capturing the essential glucose and insulin kinetics in patients from retrospective data gathered in an Intensive Care Unit (ICU). The model uses two time-varying patient specific parameters for glucose effectiveness and insulin sensitivity. The model is mathematically reformulated in terms of integrals to enable a novel method for identification of patient specific parameters. The method was tested on long-term blood glucose recordings from 17 ICU patients, producing 4% average error, which is within the sensor error. One-hour forward predictions of blood glucose data proved acceptable with an error of 2-11%. All identified parameter values were within reported physiological ranges. The parameter identification method is more accurate and significantly faster computationally than commonly used non-linear, non-convex methods. These results verifl the model's ability to capture long-term observed glucose-insulin dynamics in hyperglycernic ICU patients, as well as the fitting method developed. Applications of the model and parameter identification method for automated control of blood glucose and medical decision support are discussed.en
dc.identifier.citationHann, C.E., Chase, J.G., Lin, J., Lotz, T., Doran, C.V., Shaw, G.M. (2005) Integral-based parameter identification for long-term dynamic verification of a glucose-insulin system model. Computer Methods and Programs in Biomedicine, 77(3), pp. 259-270.en
dc.identifier.doihttps://doi.org/10.1016/j.cmpb.2006.03.004
dc.identifier.issn0169-2607
dc.identifier.urihttp://hdl.handle.net/10092/242
dc.language.isoen
dc.publisherUniversity of Canterbury. Mechanical Engineering.en
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjectCritical careen
dc.subjectGlucoseen
dc.subjectHyperglycemiaen
dc.subjectInsulinen
dc.subjectModelingen
dc.subjectIntegralsen
dc.subjectParameter identificationen
dc.subject.marsdenFields of Research::290000 Engineering and Technology::291500 Biomedical Engineeringen
dc.titleIntegral-based parameter identification for long-term dynamic verification of a glucose-insulin system modelen
dc.typeJournal Article
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