Sensor Drift Compensation Using Fuzzy Interference System and Sparse-Grid Quadrature Filter in Blood Glucose Control

摘要

Diabetes mellitus is a serious chronic condition of the humanudmetabolism. The development of an automated treatment has reachedudclinical phase in the last few years. The goal is to keep the blood glucoseudconcentration within a certain region with minimal interaction requiredudby the patient or medical personnel. However, there are still several prac-udtical problems to solve. One of these would be that the available sensorsudhave significant noise and drift. The latter is rather difficult to manage,udbecause the deviating signal can cause the controller to drive the glu-udcose concentration out of the safe region even in the case of frequentudcalibration. In this study a linear-quadratic-Gaussian (LQG) controllerudis employed on a widely used diabetes model and enhanced with an ad-udvanced Sparse-grid quadratic filter and a fuzzy interference system-basedudcalibration supervisor.