Enhancing the accuracy of subcutaneous glucose sensors: A real-time deconvolution-based approach

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 6, 2012, Pages 1658-1669

  Guerra, Stefania ^a   Facchinetti, Andrea ^a   Sparacino, Giovanni ^a   Nicolao, Giuseppe De ^b   Cobelli, Claudio ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b UNIVERSITY OF PAVIA   (Italy)

Author keywords

Continuous glucose monitoring (CGM); diabetes; regularization

Indexed keywords

ACCURACY IMPROVEMENT; CONTINUOUS GLUCOSE MONITORING; DESIGN AND TESTS; DIABETES MANAGEMENT; ELECTRICAL CURRENT; GLUCOSE LEVEL; KINETIC MODELS; LINEAR REGRESSION MODELS; MINIMALLY INVASIVE; NEEDLE ELECTRODES; REGULARIZATION; SELF-MONITORING BLOOD GLUCOSE; SIMULATION STUDIES; SUBCUTANEOUS TISSUES;

ARTIFICIAL ORGANS; BLOOD; GLUCOSE; GLUCOSE OXIDASE; LINEAR REGRESSION; MEDICAL PROBLEMS; REAL TIME SYSTEMS; SENSORS; TISSUE;

GLUCOSE SENSORS;

GLUCOSE;

ACCURACY; ALGORITHM; ARTICLE; BLOOD GLUCOSE METER; BLOOD GLUCOSE MONITORING; GLUCOSE BLOOD LEVEL; HUMAN; HYPERGLYCEMIA; HYPOGLYCEMIA; IMAGE PROCESSING; IMAGE QUALITY; INTERSTITIUM; MATHEMATICAL MODEL; MOLECULAR SENSOR; SELF MONITORING; SIMULATION;

ALGORITHMS; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; COMPUTER SIMULATION; COMPUTER SYSTEMS; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; MODELS, BIOLOGICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84861405223     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2191782     Document Type: Article

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