Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes

Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes Curr Diab Rep (2017) 17:88 DOI 10.1007/s11892-017-0920-1 THERAPIES AND NEW TECHNOLOGIES IN THE TREATMENT OF TYPE 1 DIABETES (M PIETROPAOLO, SECTION EDITOR) Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes Ali Cinar Springer Science+Business Media, LLC 2017 . . Abstract Keywords Artificial pancreas Type 1 diabetes Adaptive Purpose of Review The review summarizes the current state control Multivariable data interpretation of the artificial pancreas (AP) systems and introduces various new modules that should be included in future AP systems. Recent Findings A fully automated AP must be able to detect Introduction and mitigate the effects of meals, exercise, stress and sleep on blood glucose concentrations. This can only be achieved by The artificial pancreas (AP) has been conceived to automate using a multivariable approach that leverages information the information collection, decision-making and insulin man- from wearable devices that provide real-time streaming data agement of a person with type 1 diabetes (T1D) to maintain about various physiological variables that indicate imminent euglycemia in spite of various daily disturbances. The four changes in blood glucose concentrations caused by meals, major sources of variations in blood glucose concentrations exercise, stress and sleep. (BGC) are meals, exercise, sleep and stress (MESS). Summary Current Diabetes Reports Springer Journals

Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes

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Copyright © 2017 by Springer Science+Business Media, LLC
Medicine & Public Health; Diabetes
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