Post-prandial plasma glucose prediction in type I diabetes based on Impulse Response Models

Author

Ståhl, F. ; Johansson, R. ; Renard, Eric

Author_Institution

Dept. Autom. Control, Lund Univ., Lund, Sweden

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

1324

Lastpage

1327

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.

Keywords

FIR filters; biochemistry; blood; diseases; medical diagnostic computing; sugar; Clarke Grid Analysis; finite impulse response models; meals; post-prandial plasma glucose prediction; rapid insulin; type I diabetes; Blood; Data models; Diabetes; Insulin; Plasmas; Predictive models; Sugar; Blood Glucose; Computer Simulation; Diabetes Mellitus, Type 1; Drug Therapy, Computer-Assisted; Humans; Hypoglycemic Agents; Insulin; Insulin Resistance; Models, Biological; Postprandial Period; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5626386

Filename

5626386