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• W2125089929 abstract "In this paper, the extension of the Bergman model (minimal model) isproposed with an internal insulin control (IIC) part, representing the owninsulin control of the human body. The model has been verified with clinicalexperiments, by oral glucose intake tests. Employing parameter estimation,for inverse problem solution technique (SOSI - `single output singleinput´) was developed using Chebysev shifted polynomials, and linearidentification in time domain based on measured glucose and insulinconcentration values was applied. The glucose and insulin input functionshave been approximated and the model parameters of IIC were estimated. Thisextended Bergman model suits considerably better to the practical clinicalsituation, and it can improve the effectivity of the external control designfor glucose-insulin process. The IIC part has been identified via dynamicalneural network using the proposed SOSI technique. The symbolic and numericalcomputations were carried out with Mathematica 5.1, and with its application NeuralNetworks 2.0." @default.
• W2125089929 created "2016-06-24" @default.
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• W2125089929 date "2006-12-17" @default.
• W2125089929 modified "2023-09-27" @default.
• W2125089929 title "Extension of the Bergman Minimal Model for the Glucose-insulin Interaction" @default.
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