title: Improved blood glucose estimation through multi-sensor fusion.
abstract: Continuous glucose monitoring systems are an integral component of diabetes management. Efforts to improve the accuracy and robustness of these systems are at the forefront of diabetes research. Towards this goal, a multi-sensor approach was evaluated in hospitalized patients. In this paper, we report on a multi-sensor fusion algorithm to combine glucose sensor measurements in a retrospective fashion. The results demonstrate the algorithm's ability to improve the accuracy and robustness of the blood glucose estimation with current glucose sensor technology.
authors.forename: Feiyu
authors.initials: F
authors.lastname: Xiong
authors.forename: Brian R
authors.initials: BR
authors.lastname: Hipszer
authors.forename: Jeffrey
authors.initials: J
authors.lastname: Joseph
authors.forename: Moshe
authors.initials: M
authors.lastname: Kam
mesh_terms: D015374:Biosensing Techniques / Q000295:instrumentation*; D001786:Blood Glucose / Q000032:analysis*; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation* / Q000379:methods*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D019095:Point-of-Care Systems; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014159:Transducers
chemical_list: D001786:Blood Glucose