Blood Glucose Control in Neonatal Intensive Care with Model-Based Controllers (2009)
Type of ContentConference Contributions - Published
PublisherUniversity of Canterbury. Mechanical Engineering
AuthorsLeCompte, A.J., Chase, J.G., Lynn, A., Hann, C.E., Shaw, G.M., Lin, J.show all
Premature neonates often experience hyperglycaemia, which has been linked to increased mortality and worsened outcomes. Insulin therapy can assist in controlling blood glucose levels. However a reliable, robust control protocol is required to avoid hypoglycaemia and to meet nutrition goals. This study presents an adaptive, model-based predictive controller designed to incorporate the unique metabolic state and control parameters of the neonate. Controller performance was tested in virtual trials on a 25 patient retrospective cohort and 24-hour pilot clinical trials. The effects of measurement frequency and BG sensor error were also evaluated. Time in the 4 – 7 mmol/L BG band was increased by 110%-145% compared to retrospective control for that cohort, with fewer hypoglycaemic measurements. Controllers were robust to BG sensor errors.
CitationLeCompte, A.J., Chase, J.G., Lynn, A., Hann, C.E., Shaw, G.M., Lin, J. (2009) Blood Glucose Control in Neonatal Intensive Care with Model-Based Controllers. Aalborg, Denmark: 7th IFAC Symposium on Modeling and Control in Biomedical Systems (MCBMS09), 12-14 Aug 2009. 7, 1.
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