In Silico Closed-Loop Control Validation Studies for Optimal Insulin Delivery in Type 1 Diabetes

2015 ◽  
Vol 62 (10) ◽  
pp. 2369-2378 ◽  
Author(s):  
Stamatina Zavitsanou ◽  
Athanasios Mantalaris ◽  
Michael C. Georgiadis ◽  
Efstratios N. Pistikopoulos
Keyword(s):  
Type 1 Diabetes ◽  
Validation Studies ◽  
In Silico ◽  
Closed Loop ◽  
Insulin Delivery ◽  
Closed Loop Control ◽  
Loop Control

scholarly journals Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: Preliminary Studies in Padova and Montpellier

2009 ◽  
Vol 3 (5) ◽  
pp. 1014-1021 ◽  
Author(s):  
Daniela Bruttomesso ◽  
Anne Farret ◽  
Silvana Costa ◽  
Maria Cristina Marescotti ◽  
Monica Vettore ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glucose Control ◽  
Control Algorithm ◽  
Closed Loop ◽  
Insulin Delivery ◽  
Glucose Sensing ◽  
Open Loop ◽  
Closed Loop Control ◽  
Loop Control

New effort has been made to develop closed-loop glucose control, using subcutaneous (SC) glucose sensing and continuous subcutaneous insulin infusion (CSII) from a pump, and a control algorithm. An approach based on a model predictive control (MPC) algorithm has been utilized during closed-loop control in type 1 diabetes patients. Here we describe the preliminary clinical experience with this approach. In Padova, two out of three subjects showed better performance with the closed-loop system compared to open loop. Altogether, mean overnight plasma glucose (PG) levels were 134 versus 111 mg/dl during open loop versus closed loop, respectively. The percentage of time spent at PG > 140 mg/dl was 45% versus 12%, while postbreakfast mean PG was 165 versus 156 mg/dl during open loop versus closed loop, respectively. Also, in Montpellier, two patients out of three showed a better glucose control during closed-loop trials. Avoidance of nocturnal hypoglycemic excursions was a clear benefit during algorithm-guided insulin delivery in all cases. This preliminary set of studies demonstrates that closed-loop control based entirely on SC glucose sensing and insulin delivery is feasible and can be applied to improve glucose control in patients with type 1 diabetes, although the algorithm needs to be further improved to achieve better glycemic control. Six type 1 diabetes patients (three in each of two clinical investigation centers in Padova and Montpellier), using CSII, aged 36 ± 8 and 48 ± 6 years, duration of diabetes 12 ± 8 and 29 ± 4 years, hemoglobin A1c 7.4% ± 0.1% and 7.3% ± 0.3%, body mass index 23.2 ± 0.3 and 28.4 ± 2.2 kg/m2, respectively, were studied on two occasions during 22 h overnight hospital admissions 2–4 weeks apart. A Freestyle Navigator® continuous glucose monitor and an OmniPod® insulin pump were applied in each trial. Admission 1 used open-loop control, while admission 2 employed closed-loop control using our MPC algorithm.

scholarly journals Exercise-induced hypoglycemia in type 1 diabetes: in-silico comparison between announced and unannounced strategies in closed-loop control

2019 ◽  
Vol 52 (1) ◽  
pp. 1000-1005 ◽  
Author(s):  
Arthur Bertachi ◽  
Charrise M. Ramkissoon ◽  
Aleix Beneyto ◽  
Josep Vehí
Keyword(s):  
Type 1 Diabetes ◽  
In Silico ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Loop Control ◽  
Exercise Induced

scholarly journals In Silico Preclinical Trials: Methodology and Engineering Guide to Closed-Loop Control in Type 1 Diabetes Mellitus

2009 ◽  
Vol 3 (2) ◽  
pp. 269-282 ◽  
Author(s):  
Stephen D. Patek ◽  
B. Wayne Bequette ◽  
Marc Breton ◽  
Bruce A. Buckingham ◽  
Eyal Dassau ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
In Silico ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Loop Control ◽  
Preclinical Trials ◽  
Trials Methodology

scholarly journals Closed-loop control with unannounced exercise for adults with type 1 diabetes using the Ensemble Model Predictive Control

2019 ◽  
Vol 80 ◽  
pp. 202-210 ◽  
Author(s):  
Jose Garcia-Tirado ◽  
John P. Corbett ◽  
Dimitri Boiroux ◽  
John Bagterp Jørgensen ◽  
Marc D. Breton
Keyword(s):  
Type 1 Diabetes ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Ensemble Model ◽  
Loop Control

scholarly journals Evening and overnight closed-loop control versus 24/7 continuous closed-loop control for type 1 diabetes: a randomised crossover trial

2020 ◽  
Vol 2 (2) ◽  
pp. e64-e73 ◽  
Author(s):  
Boris P Kovatchev ◽  
Laura Kollar ◽  
Stacey M Anderson ◽  
Charlotte Barnett ◽  
Marc D Breton ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Closed Loop ◽  
Crossover Trial ◽  
Closed Loop Control ◽  
Loop Control ◽  
Control Versus
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