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Chen, Y., Chen, Y. and Wienert, S. (2004) System identification of a nonlinear glucose insulin dynamics. Proceedings of the 5th World Congress on Intelligent Control and Automation, 6, 5577-5581. doi:10.1109/WCICA.2004.1343802

has been cited by the following article:

• TITLE: Computational evaluation of the dynamic minimal model for the root causes of hypoglycemia

  AUTHORS: Murat Tunç, Sedat Şişbot, A. Kaya Gülkaya

  KEYWORDS: Simulation of Minimal Model; Evaluation of Hypoglycemia; Insulin Sensitivity Analysis

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.4 No.5, May 17, 2011

  ABSTRACT: This research is an attempt to validate how glu-cose-insulin dynamic mathematical model facilitate to identify the root causes for hypoglycaemia. The purpose is to determine whether increased insulin sensitivity or increased insulin secretion causes post- prandial hypoglycemic (PPH) response, by linking experimental patient data with dynamic mathematical model. For this purpose two groups, as hypoglycemic Group 1 and non-hypoglycemic Group 2, each of which consists of 10 people, are formed. The oral glucose tolerance test (OGTT) is carried out for each person in the groups by measuring plasma glucose and insulin concentrations at every 30 minutes for a period of 5 hours. To distinguish the actual cause of hypoglycemia, the glucose minimal dynamic model is used. The model is executed in MATLAB platform using patient data and the results showed that insulin secretion is assumed to be the potential root cause for the hypoglycemia.