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. 2008 Feb;31(2):295-300.
doi: 10.2337/dc07-1293. Epub 2007 Oct 31.

Detection of a meal using continuous glucose monitoring: implications for an artificial beta-cell

Eyal Dassau  1 , B Wayne Bequette, Bruce A Buckingham, Francis J Doyle 3rd
Affiliations

Detection of a meal using continuous glucose monitoring: implications for an artificial beta-cell

Eyal Dassau et al. Diabetes Care. 2008 Feb.

Abstract

Objective: 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).

Research design and methods: 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.

Results: 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.

Conclusions: The MDA will enable automated insulin dosing in response to meals, facilitating the development of an artificial pancreas.

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