Impact of insulin-stimulated glucose removal saturation on dynamic modelling and control of hyperglycaemia

Type of content
Journal Article
Publisher's DOI/URI
Thesis discipline
Degree name
Publisher
University of Canterbury. Mathematics and Statistics.
University of Canterbury. Mechanical Engineering.
Journal Title
Journal ISSN
Volume Title
Language
Date
2005
Authors
Chase, Geoff
Shaw, Geoff
Lin, J.
Doran, C.V.
Bloomfield, M.
Wake, G.C.
Broughton, B.
Hann, C.E.
Lotz, T.
Abstract

Reported insulin-stimulated glucose removal saturation levels vary widely between individuals and trade off with insulin sensitivity in model-based control methods. A non-linear model and adaptive insulin infusion protocol enabled high-precision blood glucose control in critically ill patients using a constant insulin-stimulated glucose removal saturation parameter. Analysis of clinical trial results with and without saturation modelling indicates the significant impact of this saturation parameter on controller efficacy. Without accounting for saturation, the time-average prediction error during a five-hour trial was up to 17.6%. The average prediction error between the four patients examined in this study was reduced to 5.8% by approximating the saturation parameter. Hence, saturation is an important dynamic that requires good methods of estimation or identification to enable tight glycemic control.

Description
Invited special edition on Australasia and Bio-Engineering
Citation
Chase, J.G., Shaw, G.M., Lin, J., Doran, C.V., Bloomfield, M., Wake, G.C., Broughton, B., Hann, C., Lotz, T. (2005) Impact of insulin-stimulated glucose removal saturation on dynamic modelling and control of hyperglycaemia. International Journal of Intelligent Systems Technologies and Applications, 1(1/2), pp. 79-94.
Keywords
Adaptive control, System modelling, Blood glucose, Saturation, Intensive care, Drug infusion control
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
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