TY - GEN

T1 - Control of Blood Glucose for People with Type 1 Diabetes: an in Vivo Study

A1 - Boiroux,Dimitri

A1 - Schmidt,Signe

A1 - Duun-Henriksen,Anne Katrine

A1 - Frøssing,Laurits

A1 - Nørgaard,Kirsten

A1 - Madsbad,Sten

A1 - Skyggebjerg,Ole

A1 - Poulsen,Niels Kjølstad

A1 - Madsen,Henrik

A1 - Jørgensen,John Bagterp

AU - Boiroux,Dimitri

AU - Schmidt,Signe

AU - Duun-Henriksen,Anne Katrine

AU - Frøssing,Laurits

AU - Nørgaard,Kirsten

AU - Madsbad,Sten

AU - Skyggebjerg,Ole

AU - Poulsen,Niels Kjølstad

AU - Madsen,Henrik

AU - Jørgensen,John Bagterp

PB - Technical University of Denmark

CY - Kogens Lyngby

PY - 2012

Y1 - 2012

N2 - Since continuous glucose monitoring (CGM) technology and insulin pumps have improved recent years, a strong interest in a closed-loop articial pancreas for people with type 1 diabetes has arisen. Presently, a fully automated controller of blood glucose must face many challenges, such as daily variations of patient's physiology and lack of accuracy of glucose sensors. In this paper we design and discuss an algorithm for overnight closed-loop control of blood glucose in people with type 1 diabetes. The algorithm is based on Model Predictive Control (MPC). We use an oset-free autoregressive model with exogenous input and moving average (ARMAX) to model the patient. Observer design and a time-varying glucose reference signal improve robustness of the algorithm. We test the algorithm in two clinical studies conducted at Hvidovre Hospital. The rst study took place overnight, and the second one took place during daytime. These trials demonstrate the importance of observer design in ARMAX models and show the possibility of stabilizing blood glucose during the night.

AB - Since continuous glucose monitoring (CGM) technology and insulin pumps have improved recent years, a strong interest in a closed-loop articial pancreas for people with type 1 diabetes has arisen. Presently, a fully automated controller of blood glucose must face many challenges, such as daily variations of patient's physiology and lack of accuracy of glucose sensors. In this paper we design and discuss an algorithm for overnight closed-loop control of blood glucose in people with type 1 diabetes. The algorithm is based on Model Predictive Control (MPC). We use an oset-free autoregressive model with exogenous input and moving average (ARMAX) to model the patient. Observer design and a time-varying glucose reference signal improve robustness of the algorithm. We test the algorithm in two clinical studies conducted at Hvidovre Hospital. The rst study took place overnight, and the second one took place during daytime. These trials demonstrate the importance of observer design in ARMAX models and show the possibility of stabilizing blood glucose during the night.

UR - http://npcw17.imm.dtu.dk/default.html

SN - 978-87-643-0946-1

BT - Proceedings of the 17th Nordic Process Control Workshop

T2 - Proceedings of the 17th Nordic Process Control Workshop

A2 - Sin,Gürkan

ED - Sin,Gürkan

SP - 133

EP - 140

ER -