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Post-Prandial Plasma Glucose Prediction in Type I Diabetes Based on Impulse Response Models
Chapitre d'ouvrage

Post-Prandial Plasma Glucose Prediction in Type I Diabetes Based on Impulse Response Models

Fredrik Ståhl, Rolf Johansson, Eric Renard et ELLIIT: the Linköping-Lund initiative on IT and mobile communication
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.1324-1327
01/01/2010
PMID: 21095929

Résumé

Control Engineering Electrical Engineering, Electronic Engineering, Information Engineering Elektroteknik och elektronik Engineering and Technology Reglerteknik Teknik
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.

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