A dual-rate Kalman filter for continuous glucose monitoring.
A dual-rate Kalman filter is developed for realtime continuous glucose monitoring. Frequent (5 minute) sampling of a noisy, continuous glucose sensor is used for estimation of glucose and its rate-of-change. Infrequent (8 hour intervals) reference glucose meter samples enable the sensor gain and its rate-of-change to be updated. The dual-rate Kalman filter formulation accounts for uncertainty in both the continuous glucose sensor and the reference glucose meter. The method is tested on simulated and experimental data, confirming its superiority to simple one-point calibration.
Kuure-Kinsey
Matthew
M
Isermann Department of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180-3590, USA.
Palerm
Cesar C
CC
Bequette
B Wayne
BW
D001786:Blood Glucose / Q000032:analysis*; D015190:Blood Glucose Self-Monitoring / Q000379:methods*; D003199:Computer Systems; D003920:Diabetes Mellitus / Q000097:blood* / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted
D001786:Blood Glucose