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• W2111489741 abstract "The purpose of this study was to introduce a novel meal detection algorithm (MDA) to be used as part of an artificial beta-cell that uses a continuous glucose monitor (CGM).We developed our MDA on a dataset of 26 meal events using records from 19 children aged 1-6 years who used the MiniMed CGMS Gold. We then applied this algorithm to CGM records from a DirecNet pilot study of the FreeStyle Navigator continuous glucose sensor. During a research center admission, breakfast insulin was withheld for 1 h, and discrete glucose levels were obtained every 10 min after the meal.Based on the Navigator readings, the MDA detected a meal at a mean time of 30 min from the onset of eating, at which time the mean serum glucose was 21 mg/dl above baseline (range 2-36 mg/dl), and >90% of meals were detected before the glucose had risen 40 mg/dl from baseline.The MDA will enable automated insulin dosing in response to meals, facilitating the development of an artificial pancreas." @default.
• W2111489741 created "2016-06-24" @default.
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• W2111489741 date "2008-02-01" @default.
• W2111489741 modified "2023-09-27" @default.
• W2111489741 title "Detection of a Meal Using Continuous Glucose Monitoring" @default.
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• W2111489741 doi "https://doi.org/10.2337/dc07-1293" @default.
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