Item
|
Calm i Puig, Remei
GarcÃa Jaramillo, Maira Alejandra VehÃ, Josep BondÃa Company, Jorge Tarin Sauer, Cristina GarcÃa-GabÃn, 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 | |
| http://hdl.handle.net/2072/295057 | |
| eng | |
| IEEE | |
| Tots els drets reservats | |
|
Control predictiu
Diabetis Glucèmia Insulina -- Ús terapèutic Blood sugar Diabetes Insulin -- Therapeutic use Predictive control |
|
| Prediction of glucose excursions under uncertain parameters and food intake in intensive insulin therapy for type 1 diabetes mellitus | |
| info:eu-repo/semantics/article | |
| Recercat |
