Name
Abstract | ||
|---|---|---|
An advanced model-based control technique for regulating the blood glucose for patients with Type 1 diabetes is presented. The optimal insulin delivery rate is obtained off-line as an explicit function of the current blood glucose concentration of the patient by using novel parametric programming algorithms, developed at Imperial College London. The implementation of the optimal insulin delivery rate, therefore, requires simple function evaluation and minimal on-line computations. The proposed framework also addresses the uncertainty in the model due to interpatient and intrapatient variability by identifying the model parameters which ensure that a feasible control law can be obtained. The developments reported in this paper are expected to simplify the insulin delivery mechanism, thereby enhancing the quality of life of the patient. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TBME.2006.878075 | Biomedical Engineering, IEEE Transactions |
Keywords | Field | DocType |
biochemistry,biocontrol,blood,diseases,drug delivery systems,medical computing,medical control systems,physiological models,Type 1 diabetes,interpatient variability,intrapatient variability,model-based blood glucose control,optimal insulin delivery rate,parametric programming,Interpatient and intrapatient variability,model-based control,parametric programming,type 1 diabetes | Biomedical engineering,Diabetes mellitus,Mathematical optimization,Parametric programming,Computer science,Implicit function,Electronic engineering,Insulin,Type 1 diabetes,Biomedical computing | Journal |
Volume | Issue | ISSN |
53 | 8 | 0018-9294 |
Citations | PageRank | References |
39 | 7.71 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pinky Dua | 1 | 88 | 13.39 |
| Francis J Doyle | 2 | 244 | 45.10 |
| Efstratios N. Pistikopoulos | 3 | 1203 | 153.85 |