title: Post-prandial plasma glucose prediction in type I diabetes based on Impulse Response Models.
abstract: In this paper the impact of different meals and rapid insulin were estimated as Finite Impulse Response Models from a data set of 18 patients. Based on these models short-term individualized predictors were tested for 20 and 60 minute prediction. The predictors were evaluated using Clarke Grid Analysis and had on average more than 94 % and 75 % in the A zone and less than 1 % and 3 % in the errorous C/D/E zones, which in comparison to other published results is competitive.
authors.affiliation: Dept. Automatic Control, Lund University, PO Box 118, SE22100 Sweden. Fredirk.Stahl@control.lth.se
authors.forename: F
authors.initials: F
authors.lastname: Stahl
authors.forename: R
authors.initials: R
authors.lastname: Johansson
authors.forename: Eric
authors.initials: E
authors.lastname: Renard
mesh_terms: D001786:Blood Glucose / Q000378:metabolism*; D003198:Computer Simulation; D003922:Diabetes Mellitus, Type 1 / Q000175:diagnosis / Q000188:drug therapy* / Q000378:metabolism*; D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D006801:Humans; D007004:Hypoglycemic Agents / Q000008:administration & dosage; D007328:Insulin / Q000008:administration & dosage*; D007333:Insulin Resistance; D008954:Models, Biological; D019518:Postprandial Period; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D001786:Blood Glucose; D007004:Hypoglycemic Agents; D007328:Insulin