论文标题
基于生理洞察力和反馈控制
A one-size-fits-all artificial pancreas for people with type 1 diabetes based on physiological insight and feedback control
论文作者
论文摘要
我们为患有1型糖尿病患者的无模型人工胰腺（AP）提出。将算法参数调整为1,000,000个个体的虚拟人群，AP反复估计维持正常血糖水平所需的基础和推注胰岛素要求。因此，可以在没有医疗保健人员或工程师为每个用户自定义算法的情况下使用AP。这些估计值基于体重，连续葡萄糖监测器（CGM）的测量以及粉碳水化合物含量的估计。在一项针对所有1,000,000个个体（即蒙特卡洛闭环模拟）的虚拟临床试验中，AP在超过87％的范围内达到平均时间，而几乎89％的参与者满足了几个血糖靶标。
We propose a model-free artificial pancreas (AP) for people with type 1 diabetes. The algorithmic parameters are tuned to a virtual population of 1,000,000 individuals, and the AP repeatedly estimates the basal and bolus insulin requirements necessary for maintaining normal blood glucose levels. Therefore, the AP can be used without healthcare personnel or engineers customizing the algorithm to each user. The estimates are based on bodyweight, measurements from a continuous glucose monitor (CGM), and estimates of the meal carbohydrate contents. In a virtual clinical trial with all 1,000,000 individuals (i.e., a Monte Carlo closed-loop simulation), the AP achieves a mean time in range of more than 87% and almost 89% of the participants satisfy several glycemic targets.
