Robust identification of patient-specific parameters for bolus calculators in type 1 diabetic patients

For the treatment of type 1 diabetes it is important to keep the blood glucose concentration as close as possible to the normal range of 80 mg/dL to 180 mg/dL. An important tool to achieve this goal is the estimation of the amount of carbohydrates in a meal from which the patient can then determine the amount of insulin to inject. However, the amount of units of insulin per grams of carbohydrates is a patient-specific parameter which varies throughout the day as well as over longer periods of time. In this project we will use mathematical models to robustly identify these parameters. This will lead to faster regulation of the blood glucose concentrations of the patient and thereby improving the patients life quality.

Keywords:type 1 diabetes

Disciplines:Applied mathematics in specific fields, Statistics and numerical methods