Derivative weighted active insulin control algorithms and intensive care unit trials

Simple item page
dc.contributor.authorDoran, C.V.
dc.contributor.authorChase, Geoff
dc.contributor.authorShaw, Geoff
dc.contributor.authorMoorhead, K.T.
dc.contributor.authorHudson, N.H.
dc.date.accessioned2007-07-18T21:09:56Z
dc.date.available2007-07-18T21:09:56Z
dc.date.issued2005en
dc.descriptionInvited from IFAC Melbourne Conferenceen
dc.description.abstractCritically ill-patients often experience stress-induced hyperglycemia. This research demonstrates the effectiveness of a simple automated insulin infusion for controlling the rise and duration of blood glucose excursion in critically ill-patients. Heavy derivative controllers derived from a simple, two-compartment model reduced blood glucose excursion 79–89% after a glucose input in proof-of-concept clinical trials. Modelled performance is very similar to clinical results, including a strong correlation between modelled and actual insulin consumed, validating the fundamental models and methods. However, the need for additional dynamics in the model employed is clearly illustrated despite capturing the essential dynamics for this problem.en
dc.identifier.citationDoran, C.V., Chase, J.G., Shaw, G.M., Moorhead, K.T., Hudson, N.H. (2005) Derivative weighted active insulin control algorithms and intensive care unit trials. Control Engineering Practice, 13(9), pp. 1129-1137.en
dc.identifier.doihttps://doi.org/10.1016/j.conengprac.2004.10.009
dc.identifier.issn0967-0661
dc.identifier.urihttp://hdl.handle.net/10092/243
dc.language.isoen
dc.publisherUniversity of Canterbury. Mechanical Engineering.en
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjectBiomedical controlen
dc.subjectPhysiological modelsen
dc.subjectPD controllersen
dc.subjectNon-linear modelsen
dc.subject.marsdenFields of Research::290000 Engineering and Technology::291500 Biomedical Engineeringen
dc.titleDerivative weighted active insulin control algorithms and intensive care unit trialsen
dc.typeJournal Article
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
12595121_Main.pdf
Size:
298.8 KB
Format:
Adobe Portable Document Format
Download
Collections
Engineering: Journal Articles