Feedforward compensation of exercise in diabetes

Leon Cantu, Irma Y. Sanchez, L. Garza-Castañón, Sergio O. Martinez
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引用次数: 2

Abstract

A nonlinear feedforward action based on the detection of exercise intensity is designed to prevent drastic blood glucose drops that may lead a diabetic patient to hypoglycemia. A physiological model is derived from the Bergman and the Sorensen models and the metabolic effects of physical activity. A statistical model for blood glucose rate is obtained through a discrete Wiener modeling technique. The statistical model is inverted for the calculation of an exogenous glucagon input that can cancel the blood glucose drop caused by exercise. Simulations show that the proposed feedforward control system satisfies the objective. Algorithm improvements as well as implementation with current commercial products are discussed.
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糖尿病运动的前馈补偿
基于运动强度检测的非线性前馈动作旨在防止可能导致糖尿病患者低血糖的剧烈血糖下降。生理模型是由Bergman和Sorensen模型和身体活动的代谢效应衍生而来的。通过离散维纳建模技术得到了血糖率的统计模型。将统计模型倒置,计算外源性胰高血糖素的输入可以抵消运动引起的血糖下降。仿真结果表明,所提出的前馈控制系统满足上述目标。讨论了算法的改进及其在现有商业产品中的实现。
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