Online calibration of glucose sensors from the measured current by a time-varying calibration function and Bayesian priors

IEEE Transactions on Biomedical Engineering

Volumn 63, Issue 8, 2016, Pages 1631-1641

  Vettoretti, Martina ^a   Facchinetti, Andrea ^a   Del Favero, Simone ^a   Sparacino, Giovanni ^a   Cobelli, Claudio ^a  

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

Continuous glucose monitoring (CGM); deconvolution; modeling; parameters estimation

Indexed keywords

ARTIFICIAL ORGANS; DECONVOLUTION; GLUCOSE; GLUCOSE SENSORS; MANUFACTURE; MODELS; PARAMETER ESTIMATION;

ACCURACY IMPROVEMENT; ARTIFICIAL PANCREAS; BAYESIAN FRAMEWORKS; CALIBRATION FUNCTIONS; CONTINUOUS GLUCOSEMONITORING (CGM); NON-PARAMETRIC DECONVOLUTION; PARAMETERS ESTIMATION; STATISTICAL KNOWLEDGE;

CALIBRATION;

GLUCOSE; GLUCOSE BLOOD LEVEL;

ACCURACY; ARTICLE; ARTIFICIAL PANCREAS; BAYES THEOREM; BLOOD GLUCOSE MONITORING; CALIBRATION; GLUCOSE BLOOD LEVEL; GLUCOSE SENSOR; HUMAN; MAJOR CLINICAL STUDY; MEASUREMENT ERROR; ONLINE ANALYSIS; STATISTICAL SIGNIFICANCE; ALGORITHM; ANALYSIS; PROCEDURES; STANDARDS; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; CALIBRATION; HUMANS; MODELS, STATISTICAL;

EID: 85029019243     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2015.2426217     Document Type: Article

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