Optimal estimation applications to continuous glucose monitoring

Type 1 diabetics must frequently monitor their blood glucose to avoid hypoglycemia and hyperglycemia. In this paper a Kalman filter is developed to estimate blood glucose concentration from noisy continuous subcutaneous sensor signals. The Kalman filter formulation leads to a natural blood glucose predictor that can be used to alarm patients to take corrective action to avoid hypoglycemia.