Adaptive and Personalized Plasma Insulin Concentration Estimation for Artificial Pancreas Systems.
Adaptive and Personalized Plasma Insulin Concentration Estimation for Artificial Pancreas Systems.
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DOI：
10.1177/1932296818763959
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发表时间：
2018-05-01
影响因子：
5
通讯作者：
Cinar, Ali
中科院分区：
文献类型：
--
作者：
Hajizadeh, Iman;Rashid, Mudassir;Cinar, Ali
背景：人工胰腺(AP)系统是一种自动给1型糖尿病(T1 DM)患者注射外源性胰岛素以调节其血糖浓度的技术，它需要估计体内已存在的活性胰岛素的数量，以避免过量使用。方法：本工作设计了一种自适应和个性化的血浆胰岛素浓度(PIC)估计器，以准确定量血流中存在的胰岛素。提出的PIC估计方法结合了Hovorka的葡萄糖-胰岛素模型和无味卡尔曼滤波算法。提出了针对个体患者个性化初始化时变模型参数以改进估计器收敛的方法。结果：将所提出的方法应用于含有明显干扰的临床数据，如饮食和锻炼，结果表明，对于基于优化的拟合参数和基于偏最小二乘回归的测试参数，所提出的方法能够准确地实时估计PIC，其均方根误差分别为7.15和9.25mU/L。结论：当血流中存在显著的胰岛素时，准确的PIC实时估计将有利于AP系统防止胰岛素的过度输送。
BACKGROUND: The artificial pancreas (AP) system, a technology that automatically administers exogenous insulin in people with type 1 diabetes mellitus (T1DM) to regulate their blood glucose concentrations, necessitates the estimation of the amount of active insulin already present in the body to avoid overdosing.METHOD: An adaptive and personalized plasma insulin concentration (PIC) estimator is designed in this work to accurately quantify the insulin present in the bloodstream. The proposed PIC estimation approach incorporates Hovorka's glucose-insulin model with the unscented Kalman filtering algorithm. Methods for the personalized initialization of the time-varying model parameters to individual patients for improved estimator convergence are developed. Data from 20 three-days-long closed-loop clinical experiments conducted involving subjects with T1DM are used to evaluate the proposed PIC estimation approach.RESULTS: The proposed methods are applied to the clinical data containing significant disturbances, such as unannounced meals and exercise, and the results demonstrate the accurate real-time estimation of the PIC with the root mean square error of 7.15 and 9.25 mU/L for the optimization-based fitted parameters and partial least squares regression-based testing parameters, respectively.CONCLUSIONS: The accurate real-time estimation of PIC will benefit the AP systems by preventing overdelivery of insulin when significant insulin is present in the bloodstream.