An online failure detection method of the glucose sensor-insulin pump system: Improved overnight safety of type-1 diabetic subjects

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 2, 2013, Pages 406-416

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

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

Continuous glucose monitoring (CGM); diabetes; Kalman filter; parameter estimation

Indexed keywords

BLACK-BOX MODEL; CONFIDENCE INTERVAL; CONTINUOUS GLUCOSE MONITORING; DATA STREAM; DIABETIC PATIENT; FAILURE DETECTION METHOD; FALSE NEGATIVES; FALSE POSITIVE; GLUCOSE CONCENTRATION; INSULIN INFUSIONS; KALMAN-FILTERING; OFFLINE; PATIENT SAFETY; PUMP SYSTEM; REAL TIME; REAL-TIME DATA STREAMS; STATE-SPACE MODELS; VIRTUAL PATIENTS;

DATA COMMUNICATION SYSTEMS; FORECASTING; GLUCOSE; INSULIN; KALMAN FILTERS; MEDICAL PROBLEMS; PARAMETER ESTIMATION; PUMPS; SENSORS;

GLUCOSE SENSORS;

GLUCOSE; INSULIN;

ACCURACY; ARTICLE; BLOOD GLUCOSE MONITORING; EQUIPMENT FAILURE; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; GLUCOSE SENSOR; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; INSULIN INFUSION; INSULIN PUMP; MAJOR CLINICAL STUDY; ONLINE ANALYSIS; PATIENT SAFETY; PREDICTION; SIMULATION; SIMULATOR; SPIKE;

ALGORITHMS; BLOOD GLUCOSE SELF-MONITORING; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 1; EQUIPMENT FAILURE ANALYSIS; HUMANS; HYPOGLYCEMIC AGENTS; INSULIN; INSULIN INFUSION SYSTEMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84872538703     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2227256     Document Type: Article

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