Neural model of blood glucose level for Type 1 Diabetes Mellitus Patients

A. Alanis, E. Sánchez, E. Ruiz‐Velázquez, Blanca S. Leon
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引用次数: 8

Abstract

This paper presents on-line blood glucose level modeling for Type 1 Diabetes Mellitus (T1DM) patients. The model is developed using a recurrent neural network trained with an extended Kalman filter based algorithm in order to develop an affine model, which captures the nonlinear behavior of the blood glucose metabolism. The goal is to derive an on-line dynamical mathematical model of the T1DM for the response of a patient to meal and subcutaneous insulin infusion. Simulation results are utilized for identification and for testing the applicability of the proposed scheme.
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1型糖尿病患者血糖水平的神经模型
本文介绍了1型糖尿病(T1DM)患者的在线血糖水平模型。该模型采用基于扩展卡尔曼滤波算法训练的递归神经网络,以建立一个捕捉血糖代谢非线性行为的仿射模型。目的是推导一个在线动态数学模型的T1DM患者对膳食和皮下胰岛素输注的反应。仿真结果用于识别和测试所提方案的适用性。
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