Meal Detection in Patients With Type 1 Diabetes: A New Module for the Multivariable Adaptive Artificial Pancreas Control System

被引:97
作者
Turksoy, Kamuran [1 ]
Samadi, Sediqeh [2 ]
Feng, Jianyuan [2 ]
Littlejohn, Elizabeth [3 ]
Quinn, Laurie [4 ]
Cinar, Ali [5 ,6 ]
机构
[1] IIT, Dept Biomed Engn, Chicago, IL 60616 USA
[2] IIT, Dept Chem & Biol Engn, Proc Modeling Monitoring & Control Res Grp, Chicago, IL 60616 USA
[3] Univ Chicago, Dept Pediat, Kovler Diabet Ctr, Chicago, IL 60637 USA
[4] Univ Illinois, Coll Nursing, Dept Biobehav Hlth Sci, Chicago, IL 60612 USA
[5] IIT, Dept Chem & Biol Engn, Chicago, IL 60616 USA
[6] IIT, Dept Biomed Engn, Chicago, IL 60616 USA
基金
美国国家卫生研究院;
关键词
Artificial Pancreas (AP); hyperglycemia; meal detection; type 1 diabetes (T1D); unscented Kalman filter (UKF); LOOP INSULIN DELIVERY; BIONIC PANCREAS; GLUCOSE CONTROL; MINIMAL MODEL; ADOLESCENTS; SENSITIVITY; INFUSION; ADULTS;
D O I
10.1109/JBHI.2015.2446413
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel meal-detection algorithm is developed based on continuous glucose measurements. Bergman's minimal model is modified and used in an unscented Kalman filter for state estimations. The estimated rate of appearance of glucose is used for meal detection. Data from nine subjects are used to assess the performance of the algorithm. The results indicate that the proposed algorithm works successfully with high accuracy. The average change in glucose levels between the meals and the detection points is 16(+/- 9.42) [mg/dl] for 61 successfully detected meals and snacks. The algorithm is developed as a new module of an integrated multivariable adaptive artificial pancreas control system. Meal detection with the proposed method is used to administer insulin boluses and prevent most of postprandial hyperglycemia without any manual meal announcements. A novel meal bolus calculation method is proposed and tested with the UVA/Padova simulator. The results indicate significant reduction in hyperglycemia.
引用
收藏
页码:47 / 54
页数:8
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