Abstract
An essential component of insulin therapy for type 1 diabetes involves the prediction of blood glucose levels as function of exogenous perturbations such as insulin dose and meal intake. Based on the authors' previously developed patient-specific linear time-varying model for glucose dynamics consisting of both insulin and meal inputs, this paper develops a model predictive control for determining the optimal insulin delivery to regulate blood glucose in euglycemic range. Evaluation of the developed controller using the UVa/Padova simulator shows promising results. In addition, results in this paper show the importance of explicitly including the meal intake in the regression model, which was often lacking in the existing empirical subject-model based control.
| Original language | English (US) |
|---|---|
| Title of host publication | ACC 2015 - 2015 American Control Conference |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 5782-5787 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479986842 |
| DOIs | |
| State | Published - Jul 28 2015 |
| Event | 2015 American Control Conference, ACC 2015 - Chicago, United States Duration: Jul 1 2015 → Jul 3 2015 |
Publication series
| Name | Proceedings of the American Control Conference |
|---|---|
| Volume | 2015-July |
| ISSN (Print) | 0743-1619 |
Other
| Other | 2015 American Control Conference, ACC 2015 |
|---|---|
| Country | United States |
| City | Chicago |
| Period | 7/1/15 → 7/3/15 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
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Model predictive control for type 1 diabetes based on personalized linear time-varying subject model consisting of both insulin and meal inputs : In Silico evaluation. / Wang, Qian; Xie, Jinyu; Molenaar, Peter; Ulbrecht, Jan.
ACC 2015 - 2015 American Control Conference. Institute of Electrical and Electronics Engineers Inc., 2015. p. 5782-5787 7172245 (Proceedings of the American Control Conference; Vol. 2015-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Model predictive control for type 1 diabetes based on personalized linear time-varying subject model consisting of both insulin and meal inputs
T2 - In Silico evaluation
AU - Wang, Qian
AU - Xie, Jinyu
AU - Molenaar, Peter
AU - Ulbrecht, Jan
PY - 2015/7/28
Y1 - 2015/7/28
N2 - An essential component of insulin therapy for type 1 diabetes involves the prediction of blood glucose levels as function of exogenous perturbations such as insulin dose and meal intake. Based on the authors' previously developed patient-specific linear time-varying model for glucose dynamics consisting of both insulin and meal inputs, this paper develops a model predictive control for determining the optimal insulin delivery to regulate blood glucose in euglycemic range. Evaluation of the developed controller using the UVa/Padova simulator shows promising results. In addition, results in this paper show the importance of explicitly including the meal intake in the regression model, which was often lacking in the existing empirical subject-model based control.
AB - An essential component of insulin therapy for type 1 diabetes involves the prediction of blood glucose levels as function of exogenous perturbations such as insulin dose and meal intake. Based on the authors' previously developed patient-specific linear time-varying model for glucose dynamics consisting of both insulin and meal inputs, this paper develops a model predictive control for determining the optimal insulin delivery to regulate blood glucose in euglycemic range. Evaluation of the developed controller using the UVa/Padova simulator shows promising results. In addition, results in this paper show the importance of explicitly including the meal intake in the regression model, which was often lacking in the existing empirical subject-model based control.
UR - http://www.scopus.com/inward/record.url?scp=84940928672&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940928672&partnerID=8YFLogxK
U2 - 10.1109/ACC.2015.7172245
DO - 10.1109/ACC.2015.7172245
M3 - Conference contribution
AN - SCOPUS:84940928672
T3 - Proceedings of the American Control Conference
SP - 5782
EP - 5787
BT - ACC 2015 - 2015 American Control Conference
PB - Institute of Electrical and Electronics Engineers Inc.
ER -