Fuzzy Logic-Based Modeling of the Biological Regulator of Blood Glucose
ABSTRACT This paper proposes the utilisation of fuzzy logic so as to design a system which models the biological regulator of blood
glucose. That system consists of several fuzzy relations, each one of them modeling a component of the biological glycemia
regulator, that is, pancreatic insulin production, net hepatic glucose balance, insulin dependent and independent glucose
uptake, and kidney function. A set of experiments has been carried out by means of a simulation of the proposed model, checking
that fuzzy control provides good results for the studied cases. The system could be a basis for developing artificial glycemia
control mechanisms to be applied as a therapy for different pathologies, as well as for the development of simulators and
monitors to aid diagnosis.
- SourceAvailable from: Dimiter Driankov
Chapter: An Introduction to Fuzzy ControlSpringer-Verlag. Berlin-Heidelberg..
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ABSTRACT: A clinical model of glucose-insulin interaction in insulin-dependent diabetes mellitus has been developed for patient and medical staff education. The model attempts to reflect the underlying (patho)physiology of insulin action and carbohydrate absorption in quantitative terms such as insulin sensitivity, volume of glucose and insulin distribution and maximal rate of gastric emptying. The model's predictions also allow a 24 h simulation of patient blood glucose profiles to be generated. A description of the model is provided and its operation illustrated by clinical case studies of insulin-treated diabetic patients. The possible use of the model as a tool for automated insulin dosage adjustment is explored.Journal of Biomedical Engineering 06/1992; 14(3):235-42.