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

In English 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.