Simulation of physical dynamics and steady state analysis of comprehensive models of type 1 diabetes to develop model based algorithm

The need of comparative analysis of two plant model of type 1 diabetic patient, which helps in choosing an appropriate patient model to develop the control algorithm for blood glucose regulation. The model can be chosen based on the dynamics of the plant and steady state analysis of the model.This type of approach in selecting the model highlights the individual compartmental analysis and the behaviour of the model. Two patient models which include the insulin and glucagon chosen are Sorensen and Dallaman model. A better understanding of these models helps in identifying individual model components which represents true physiological system response. The mathematical model of Sorenson and Dallaman model are studied and simulated to learn the individual behaviour of the parameters associated with them. A steady state analysis of both the models are simulated and analysed, Sorenson model is said to be a complex model but gives a quick response when simulation is compared to Dallaman model. Such a model can be further used for the research and development of dual control of Artificial Pancreas