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This paper presents the application of a recurrent multilayer perceptron neural network for modeling blood glucose dynamics in Type 1 Diabetes Mellitus (T1DM). Training is performed based on an extended Kalman filtering (EKF) learning algorithm. Then, the EKF performance is compared with the well-known Levenberg-Marquardt (LM) learning algorithm. The goal is to derive a dynamical mathematical model...
A weighting restriction with frequency components is proposed for the insulin delivery on Type 1 Diabetics Mellitus (T1DM) towards the control of the blood glucose level. The weighting restriction is stated from a model of healthy subjects which includes a rate for insulin delivery. The frequency components are incorporated via a transfer function from the plasma glucose to the free-plasma insulin...
This paper presents the design methodology for Mamdani-type fuzzy logic controllers to regulate the blood glucose level in a Type I diabetic patient. The overall control strategy is based on a two-loop feedback strategy. The inner-loop provides the amount of both rapid (Lispro) and slow (NPH) insulin types that the patient has to program in a three-shoots daily basis. The combined preparation is then...
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