Literature DB >> 17946379

A dual-rate Kalman filter for continuous glucose monitoring.

Matthew Kuure-Kinsey1, Cesar C Palerm, B Wayne Bequette.   

Abstract

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.

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Year:  2006        PMID: 17946379     DOI: 10.1109/IEMBS.2006.260057

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  24 in total

1.  Continuous glucose monitoring: real-time algorithms for calibration, filtering, and alarms.

Authors:  B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2010-03-01

2.  Use of subcutaneous interstitial fluid glucose to estimate blood glucose: revisiting delay and sensor offset.

Authors:  Kerstin Rebrin; Norman F Sheppard; Garry M Steil
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

3.  Continuous glucose monitoring in subjects with type 1 diabetes: improvement in accuracy by correcting for background current.

Authors:  Joseph El Youssef; Jessica R Castle; Julia M Engle; Ryan G Massoud; W Kenneth Ward
Journal:  Diabetes Technol Ther       Date:  2010-09-30       Impact factor: 6.118

4.  Signal processing algorithms implementing the "smart sensor" concept to improve continuous glucose monitoring in diabetes.

Authors:  Andrea Facchinetti; Giovanni Sparacino; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

5.  Autoregressive Modeling of Drift and Random Error to Characterize a Continuous Intravascular Glucose Monitoring Sensor.

Authors:  Tony Zhou; Jennifer L Dickson; J Geoffrey Chase
Journal:  J Diabetes Sci Technol       Date:  2017-07-14

6.  Glucose estimation and prediction through meal responses using ambulatory subject data for advisory mode model predictive control.

Authors:  Rachel Gillis; Cesar C Palerm; Howard Zisser; Lois Jovanovic; Dale E Seborg; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2007-11

7.  Personalized Prediction of Glaucoma Progression Under Different Target Intraocular Pressure Levels Using Filtered Forecasting Methods.

Authors:  Pooyan Kazemian; Mariel S Lavieri; Mark P Van Oyen; Chris Andrews; Joshua D Stein
Journal:  Ophthalmology       Date:  2017-12-02       Impact factor: 12.079

8.  A Personalized Week-to-Week Updating Algorithm to Improve Continuous Glucose Monitoring Performance.

Authors:  Stamatina Zavitsanou; Joon Bok Lee; Jordan E Pinsker; Mei Mei Church; Francis J Doyle; Eyal Dassau
Journal:  J Diabetes Sci Technol       Date:  2017-10-16

9.  State Estimation with Sensor Recalibrations and Asynchronous Measurements for MPC of an Artificial Pancreas to Treat T1DM.

Authors:  Ravi Gondhalekar; Eyal Dassau; Francis J Doyle
Journal:  Proc IFAC World Congress       Date:  2014-08

10.  Real-time state estimation and long-term model adaptation: a two-sided approach toward personalized diagnosis of glucose and insulin levels.

Authors:  Claudia Eberle; Christoph Ament
Journal:  J Diabetes Sci Technol       Date:  2012-09-01
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