文章基本信息

标题：Estimating insulin sensitivity after exercise using an Unscented Kalman Filter ⁎
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作者：Julia Deichmann ; Hans-Michael Kaltenbach
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：15
页码：472-477
DOI：10.1016/j.ifacol.2021.10.301
语种：English
出版社：Elsevier
摘要：AbstractInsulin sensitivity is an important physiological parameter for determining insulin requirements for patients with type 1 diabetes. In addition to being highly variable between patients, insulin sensitivity increases substantially during exercise and stays elevated for several hours during subsequent recovery. We propose an unscented Kalman filter for estimating insulin sensitivity from continuous glucose monitoring data that does not require the underlying model to capture exercise and relies on average values for patient-specific parameters. Using in silico full-day simulations including exercise and meals, we study how adjusting insulin doses for elevated insulin sensitivity could decrease the risk of hypoglycemia after exercise and improve time-in-range and related metrics.
关键词：Keywordsdiabetes managementclinical guidelinesdecision supportbiologicalmedical system modellingquantification of physiological parametersinsulin sensitivityexercise