文章基本信息

标题：An automated meal detector and bolus calculator in combination with closed-loop blood glucose control ⁎
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作者：Zeinab Mahmoudi ; Dimitri Boiroux ; Faye Cameron 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：27
页码：168-173
DOI：10.1016/j.ifacol.2018.11.648
语种：English
出版社：Elsevier
摘要：AbstractThe aim of this study is to develop an algorithm for detection of unannounced meals and an insulin bolus calculator (BC) to work in combination with the meal detector. The input of the meal detector are the continuous glucose monitoring (CGM) data and the insulin infusion rate. During daytime, the automated meal detector and the BC control the blood glucose concentration. During nighttime, a model predictive control (MPC) algorithm regulates the basal insulin rate. The meal detector detects the occurrence of a meal, estimates the amount of carbohydrate (CHO) in the meal, and estimates the meal onset time. The BC computes a bolus dose to cover the detected meal. We test the meal detector and the BC on nine virtual type 1 diabetes (T1D) patients. The meal detection algorithm, applied on the virtual patients, has a median detection delay of 40 min, detection sensitivity of 80% and a median meal onset estimation bias of 15 min. The algorithm does not have false positive.
关键词：KeywordsType 1 diabetesMeal detectionKalman filterBolus calculator