title: Model-based blood glucose control for Type 1 diabetes via parametric programming.
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.
authors.affiliation: Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, UK. pinky.panjwani@imperial.ac.uk
authors.forename: Pinky
authors.initials: P
authors.lastname: Dua
authors.forename: Francis J
authors.initials: FJ
authors.lastname: Doyle
authors.forename: Efstratios N
authors.initials: EN
authors.lastname: Pistikopoulos
mesh_terms: D001786:Blood Glucose / Q000032:analysis / Q000378:metabolism*; D003198:Computer Simulation; D003922:Diabetes Mellitus, Type 1 / Q000188:drug therapy* / Q000378:metabolism*; D004305:Dose-Response Relationship, Drug; D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D006801:Humans; D007004:Hypoglycemic Agents / Q000008:administration & dosage; D007328:Insulin / Q000008:administration & dosage* / Q000097:blood*; D008954:Models, Biological; D016896:Treatment Outcome
chemical_list: D001786:Blood Glucose; D007004:Hypoglycemic Agents; D007328:Insulin