稳健性最优安全临界控制对1型糖尿病患者血糖调节的影响

Navid Moshtaghi Yazdani, R. Kardehi Moghaddam
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引用次数: 1

摘要

导语:糖尿病是一组代谢疾病,患者血糖升高,要么是因为胰腺不能产生足够的胰岛素,要么是因为细胞对产生的胰岛素没有反应。设计一种自动调节糖尿病患者血糖的系统是近年来研究人员密切关注的一个解决方案。因此,对于像人工胰腺这样的安全关键系统来说,安全性是最低要求。本研究介绍了一种安全、鲁棒、性能保证的最优控制器,可以在干扰下安全地调节血糖。材料与方法:在本节中,首先对调节血糖水平的模拟研究进行评价。为此,使用了动态模型。该模型包括一个虚拟病人、一个胰岛素泵和一个连续血糖水平传感器。虚拟患者模型代表胰岛素-葡萄糖、碳水化合物-葡萄糖和运动-葡萄糖的动态。结果:不需要为每个类别的患者重置控制器参数是建议的控制器的好处之一。但是PID控制器需要对每组患者的参数进行重置,预测控制方法需要对患者的模型进行预估,并且由于个体胰岛素-葡萄糖动态每天都在变化,因此PID控制器在不同日子的表现也不同。结论:考虑到身体组织对胰岛素的不同敏感性,对两组不同患者的控制器评估结果表明,即使在压力或药物作用下,控制器也能抵抗可能发生胰岛素敏感性变化的患者的日常变化,并且不会失去其最佳功能。仿真结果表明,所设计的控制器能够很好地减小外界干扰的影响,其幅度在人体的生理范围内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blood Glucose Regulation in Patients with Type 1 Diabetes by Robust Optimal Safety Critical Control
Introduction: Diabetes disease is a group of metabolic diseases in which a person has high blood sugar, either because the pancreas does not produce enough insulin, or because cells do not respond to the insulin that is produced. Designing an automated system for regulating blood glucose in patients with diabetes is a solution that researchers have been paying close attention to in recent years. Therefore, safety is the minimum requirement for safety-critical systems such as the artificial pancreas. The present study introduces a safe, robust, performance-guaranteed optimal controller that can safely regulate blood glucose in the disturbance.Material and Methods: In this section, first, regulate blood glucose levels in simulation studies is evaluated. For this purpose, a dynamic model is used. The model includes a virtual patient, an insulin pump, and a continuous blood glucose level sensor. The virtual patient model represents the dynamics of insulin-glucose, carbohydrate-glucose, and exercise-glucose.Results: The need to not reset the controller parameters for patients in each category is one of the suggested controller's benefits. However, the PID controller needs to reset the parameters for each group of patients, the predictive control method requires the estimated model of the patient, and its performance is different on different days because the insulin-glucose dynamics for an individual changes day by day.Conclusion: Taking into account different sensitivities of body tissue to insulin, the results of evaluating the controller for two different groups of patients have shown that the controller is resistant to day-to-day changes in patients who may experience changes in insulin sensitivity, even with stress or medication and will not lose its optimal function. Based on the simulation results, the proposed controller can reduce the external disturbances' effect, whose amplitude is to a good extent within the body's physiological range.
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