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Parameter estimation of T1DM models with a particular focus on endogenous glucose production

文献类型： 会议论文

第一作者： Máté Siket

作者： Máté Siket 1 ; Rebeka Tóth 2 ; Imre Rudas 2 ; Gy?rgy Eigner 3 ; Levente Kovács 3 ;

作者机构： 1.Physiological Controls Research Center, óbuda University, Budapest, Bécsi street 96/B|Biomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, óbuda University, Budapest, Bécsi street 96/B|Applied Informatics and Applied Mathematics Doctoral School, óbuda University, Budapest, Bécsi street 96/B

2.Physiological Controls Research Center, óbuda University, Budapest, Bécsi street 96/B

3.Physiological Controls Research Center, óbuda University, Budapest, Bécsi street 96/B|Institute for Computer Science and Control, Kende utca 13-17, Budapest, Hungary

关键词： Heart rate;Parameter estimation;Fitting;Production;Mathematical models;Physiology;Glucose

会议名称： IEEE International Conference on Systems, Man, and Cybernetics

主办单位：

页码： 1891-1896

摘要： The effects of individual physiological phenomena play an important role considering the accuracy of artificial pancreas systems. An example of these phenomena is the heart rate which is easy to measure. There is a connection between heart rate and endogenous glucose production that significantly influences the blood glucose level. The proper implementation of heart rate could lead to defining physical activity in TIDM models. The aim of the current study is to examine how the change in endogenous glucose production influences the fitting accuracies in model versions with different complexity. Our extensions include a heart rate dependent endogenous glucose production equation, modeling the effect of physical activity, and a part defining the effect of insulin on endogenous glucose production. The joint effect of the mentioned extensions was also considered.

分类号： tp13-53

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