HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text (PDF) All Versions of this Article: dc07-1293v1 dc07-1293v2 31/2/295    most recent Purchase Article View Shopping Cart Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Request Permissions Google Scholar Articles by Dassau, E. Articles by Doyle, F. J. PubMed PubMed Citation Articles by Dassau, E. Articles by Doyle, F. J., III Social Bookmarking                What's this?

Detection of a Meal Using Continuous Glucose Monitoring (CGM): Implications for an Artificial β-cell

Eyal Dassau, PhD^*, B.Wayne Bequette, PhD, Bruce A. Buckingham, MD and Francis J. Doyle, III, PhD^*

*Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA 93106-5080
Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180-3590
Stanford Medical Center, Stanford, CA 94305-5208

frank.doyle{at}icb.ucsb.edu

ABSTRACT

Objective: The purpose of this study was to introduce a novel meal detection algorithm (MDA) to be used as part of an artificial β-cell that utilizes continuous glucose monitoring (CGM).

Research Design And Methods: We developed our MDA on a data set of 26 meal events using records from nineteen children 1 to 6 year old who used the Medtronic Minimed CGMS Gold®. We then applied this algorithm to CGM records from a DirecNet pilot study of the FreeStyle Navigator® (Abbott Diabetes Care). During a research center admission, breakfast insulin was withheld for 1 hour and discrete glucose levels were obtained every 10 minutes following the meal.

Results: Based on the Navigator readings, the MDA detected a meal at a mean time of 30 minutes from the onset of eating, at which time the mean serum glucose was 21 mg/dL above baseline (range 2 to 36 mg/dL), and more than 90% of meals were detected before the glucose had risen 40 mg/dL from baseline.

Conclusion: The meal detection algorithm will enable automated insulin dosing in response to meals, facilitating the development of an artificial pancreas.

CiteULike    Del.icio.us    Digg    Reddit    Technorati    What's this?