Coordinatore | UNIVERSITAT POLITECNICA DE VALENCIA
Organization address
address: CAMINO DE VERA SN EDIFICIO 3A contact info |
Nazionalità Coordinatore | Spain [ES] |
Totale costo | 160˙793 € |
EC contributo | 160˙793 € |
Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
Code Call | FP7-PEOPLE-2009-IEF |
Funding Scheme | MC-IEF |
Anno di inizio | 2010 |
Periodo (anno-mese-giorno) | 2010-10-01 - 2012-09-30 |
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UNIVERSITAT POLITECNICA DE VALENCIA
Organization address
address: CAMINO DE VERA SN EDIFICIO 3A contact info |
ES (VALENCIA) | coordinator | 160˙793.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'Near-normoglycaemia has been established as the control objective for most patients with diabetes. Automated glucose control, the so-called artificial pancreas, would represent the ideal solution for attainment of therapeutic goals in diabetic patients. However, several challenges do exist to effectively realize closed-loop control of blood glucose. In this proposal, two key issues for the success of the artificial pancreas will be addressed: accuracy of continuous glucose monitors (CGM) and management of meals. CGM estimate plasma glucose from measurements taken in the interstitium. However, variations of the plasma/interstitium glucose exchange may occur during dynamic conditions, explaining the poor performance of CGM in the hypoglycaemic range. The glucose clamp technique will be used in diabetic subjects to obtain controlled variations of glycaemia at different levels of insulinemia. Models of blood-interstitium glucose transport will be built and incorporated in advanced calibrations strategies aiming at improving monitors accuracy, as required for closed-loop glycaemic control. Besides, meals are one of the major perturbations to counteract and the main challenge found in current clinical validations of the few existing prototypes of an artificial pancreas. Clinical studies have demonstrated the ability of small manual pre-meal ‘priming’ boluses to reduce postprandial excursions during closed-loop control. Set inversion algorithms have proved in silico its efficiency to compute insulin administration to achieve a tight postprandial control with no hypoglycemia especially for big meals. A rigorous clinical testing of the set-inversion-based meal-control will be carried out and incorporated into closed-loop control strategies. Significant advances in postprandial control are expected. Improvement of the accuracy of CGM under dynamic conditions, as well as of algorithms for the control of meal perturbations, will represent a step ahead closing the loop.'