Lin, J.Chase, GeoffShaw, GeoffLotz, T.Hann, C.E.Doran, C.V.Lee, D.2007-07-052007-07-052004Lin, J., Chase, J.G., Shaw, G.M., Lotz, T., Hann, C.E., Doran, C.V., Lee, D. (2004) Long term verification of glucose-insulin regulatory system model dynamics. San Francisco, CA, USA: 26th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), 1-5 Sep 2004. EMBC 2004 Conference Proceedings, 1, 758-761.978-0-7803-8440-8http://hdl.handle.net/10092/154doi: 10.1109/IEMBS.2004.1403269Hyperglycaemia in critically ill patients increases the risk of further complications and mortality. A long-term verification of a model that captures the essential glucose- and insulin-kinetics is presented, using retrospective data gathered in an Intensive Care Unit (ICU). The model uses only two patient specific parameters, for glucose clearance and insulin sensitivity. The optimization of these parameters is accomplished through a novel integration-based fitting approach, and a piecewise linearization of the parameters. This approach reduces the non-linear, non-convex optimization problem to a simple linear equation system. The method was tested on long-term blood glucose recordings from 17 ICU-patients, resulting in an average error of 7%, which is in the range of the sensor error. One-hour predictions of blood glucose data proved acceptable with an error range between 7- 11%. These results verify the model’s ability to capture longterm observed glucose-insulin dynamics in hyperglycaemic ICU patients.enCritical careGlucoseHyperglycemiaInsulinModellingConference Contributions - PublishedFields of Research::230000 Mathematical Sciences::230100 Mathematics::230119 Systems theory and controlFields of Research::290000 Engineering and Technology::290500 Mechanical and Industrial Engineering::290501 Mechanical engineeringFields of Research::320000 Medical and Health Sciences::321000 Clinical Sciences::321008 HaematologyFields of Research::320000 Medical and Health Sciences::320600 Medical Physiology::320603 Systems physiology