| Literature DB >> 19190726 |
Gianni Marchetti1, Massimiliano Barolo, Lois Jovanovič, Howard Zisser, Dale E Seborg.
Abstract
As the "artificial pancreas" becomes closer to reality, automated insulin delivery based on real-time glucose measurements becomes feasible for people with diabetes. This paper is concerned with the development of novel feedforward-feedback control strategies for real-time glucose control and type 1 diabetes. Improved post-meal responses can be achieved by a pre-prandial snack or bolus, or by reducing the glucose setpoint prior to the meal. Several feedforward-feedback control strategies provide attractive alternatives to the standard meal insulin bolus and are evaluated in simulations using a physiological model.Entities:
Year: 2008 PMID: 19190726 PMCID: PMC2597856 DOI: 10.1016/j.jprocont.2007.07.008
Source DB: PubMed Journal: J Process Control ISSN: 0959-1524 Impact factor: 3.666