Optimal design for individual model identification based on ambulatory continuous glucose monitoring in patients with type 1 diabetes

Obtaining an individual model parametrisation based on ambulatory continuous glucose monitoring in patients with type 1 diabetes is a key challenge for the development of an artificial pancreas. Although multiple model structures have been proposed in the literature, parameter identification from individual glycaemic profiles remains a difficult task. In this work, an optimal experimental design study is carried out, based on Fisher Information Matrix techniques, for improving identification of individual glycaemic parameters. Simple experiment conditions are proposed to find out the most appropriate and timely insulin bolus according to different meals. Based on a qualitative interpretation of the results, a clinical protocol is proposed for model identification based on ambulatory data provided by patients (continuous glucose monitoring, insulin pump and patient´s logbook). Clinical studies are currently being performed in order to validate the proposed experiments. Preliminary results are shown and discussed.