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Computational evaluation of the dynamic minimal model for the root causes of hypoglycemia

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DOI: 10.4236/jbise.2011.45049    4,137 Downloads   7,814 Views  

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Tunç, M. , Şişbot, S. and Gülkaya, A. (2011) Computational evaluation of the dynamic minimal model for the root causes of hypoglycemia. Journal of Biomedical Science and Engineering, 4, 391-396. doi: 10.4236/jbise.2011.45049.

References

[1] International Diabetes Federation (2011) Diabetes Atlas, available at http://www.diabetesatlas.org/content/eur-data
[2] National center for Biomedical Information (2011) Hypoglycemia Insulin shock, Low blood sugar, PubMed Health, available at http://www.ncbi.nlm.nih.gov/pubmedhealth/PMH0001423
[3] Bergman, R.N., Phillips, L.S. and Cobelli, C. (1981) Physiologic evaluation of factors controlling glucose tolerance in man. Journal of Clinical Investigation, 68, 1456-1467.
[4] Boutayeb, A. and Chetouani, A. (2006) A critical review of mathematical models and data used in diabetology. Bio-Medical Engineering, 5, 43.
[5] 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
[6] Man, C.D., Caumo, A. and Cobelli, C. (2002) The oral glucose minimal model: Estimation of insulin sensitivity from a meal test. IEEE Transactions on Biomedical Engineering, 49, 419-429. doi:10.1109/10.995680
[7] Lynch, S.M. and Bequette, B.W. (2002) Model predictive control of blood glucose in Type 1 diabetics using subcutaneous glucose measurement. The Proceedings of American Control Conference Anchorage, 5, 4039-4043. doi:10.1109/ACC.2002.1024561
[8] Nguyen, H., Nguyen, D.K., Shannon, A. and Owens, D. (1997) Estimation of minimal model parameters with the use of an adaptive observer for suprabasal insulin action. Proceedings of the 19th annual International Conference on Engineering in Medicine and Biology Society, Chicago, 30 October-2 November 1997, 2146-2148. doi:10.1109/IEMBS.1997.758778
[9] Natalucci, S., Di Nardo, F., Staffolani, P., De Marzi, C., Morosini, P. and Burattini, R. (2003) Glucose absorption and insulin sensitivity from oral glucose tolerance test. Proceedings of the 25th Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, Mexico, 17-21 September 2003, 2758-2760. doi:10.1109/IEMBS.2003.1280488
[10] Makroglou, A. and Kuang, Y. (2006) Mathematical models and software tools for the glucose-insulin regulatory system and diabetes: An overview. Applied Numerical Mathematics, 56, 559-573.
[11] Van Riel, N. (2004) Minimal Models for Glucose Insulin Dynamics-A Matlab Implementation. TUE, Eindhoven University of Technology.

  
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