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Prediction of glucose excursions under uncertain parameters and food intake in intensive insulin therapy for type 1 diabetes mellitus
Calm i Puig, Remei; García Jaramillo, Maira Alejandra; Vehí, Josep; Bondía Company, Jorge; Tarin Sauer, Cristina; García-Gabín, Winston
Considering the difficulty in the insulin dosage selection and the problem of hyper- and hypoglycaemia episodes in type 1 diabetes, dosage-aid systems appear as tremendously helpful for these patients. A model-based approach to this problem must unavoidably consider uncertainty sources such as the large intra-patient variability and food intake. This work addresses the prediction of glycaemia for a given insulin therapy face to parametric and input uncertainty, by means of modal interval analysis. As result, a band containing all possible glucose excursions suffered by the patient for the given uncertainty is obtained. From it, a safer prediction of possible hyper- and hypoglycaemia episodes can be calculated
Control predictiu
Diabetis
Glucèmia
Insulina -- Ús terapèutic
Blood sugar
Diabetes
Insulin -- Therapeutic use
Predictive control
Tots els drets reservats
Article
IEEE
         

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