文章基本信息

标题：Meal Detection in the Artificial Pancreas: Implications During Exercise
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作者：Charrise M. Ramkissoon ; Pau Herrero ; Jorge Bondia 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：5462-5467
DOI：10.1016/j.ifacol.2017.08.1083
语种：English
出版社：Elsevier
摘要：AbstractMany studies have reported that a high number of missed meal boluses occur, especially in adolescents, during insulin pump therapy. It is predicted that this behavior will carry on to artificial pancreas therapy, where a continuous glucose monitor (CGM) and an insulin pump are used by a control algorithm to regulate blood glucose (BG) levels in those with type 1 diabetes (T1D). This study utilizes a novel approach to meal detection using a sliding window and computing the normalized cross-covariance between measured glucose, BG(k) and a disturbance term, D(k), estimated from an augmented minimal model using an Unscented Kalman Filter (UKF). This meal detection algorithm is tested in silico in two scenarios: 1) without exercise and 2) with one meal occurring during exercise daily. This experiment was done to see the effect of stacked physiological responses incurred by meals and exercise.
关键词：KeywordsMeal detectionphysiological modelscross correlationcovarianceunscented kalman filtersthresholdstype 1 diabetesartificial pancreasexercisemeals