Improving accuracy and precision of glucose sensor profiles: Retrospective fitting by constrained deconvolution

IEEE Transactions on Biomedical Engineering

Volumn 61, Issue 4, 2014, Pages 1044-1053

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

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

Artificial pancreas; constrained semiblind deconvolution; continuous glucose monitoring (CGM); diabetes; outcome metric computation; outpatient clinical trial evaluation

Indexed keywords

ALGORITHMS; ARTIFICIAL ORGANS; EXPERIMENTS; GLUCOSE SENSORS; MEDICAL APPLICATIONS; MEDICAL PROBLEMS;

ACCURACY AND PRECISION; ARTIFICIAL PANCREAS; CLINICAL TRIAL; CONSTRAINED DECONVOLUTION; CONTINUOUS GLUCOSEMONITORING (CGM); HIGH TEMPORAL RESOLUTION; REFERENCE MEASUREMENTS; SEMI-BLIND DECONVOLUTION;

DECONVOLUTION;

GLUCOSE;

ACCURACY; ALGORITHM; ARTICLE; BAYES THEOREM; BLOOD GLUCOSE MONITORING; CALIBRATION; CLINICAL TRIAL (TOPIC); CONTINUOUS GLUCOSE MONITORING; DIFFUSION; ERROR; EVALUATION STUDY; GLUCOSE BLOOD LEVEL; GLYCEMIC CONTROL; HUMAN; HYPERGLYCEMIA; HYPOGLYCEMIA; INTERSTITIUM; OUTCOME ASSESSMENT; RETROSPECTIVE STUDY;

ALGORITHMS; BAYES THEOREM; BLOOD GLUCOSE; HUMANS; MONITORING, AMBULATORY; PANCREAS, ARTIFICIAL; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84897099501     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2293531     Document Type: Article

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