Stochastic virtual population of subjects with type 1 diabetes for the assessment of closed-loop glucose controllers

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 12, 2013, Pages 3524-3533

  Haidar, Ahmad ^a,b   Wilinska, Malgorzata E ^a   Graveston, James A ^a   Hovorka, Roman ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Artificial pancreas; Bayesian estimation; closed loop systems; compartment modeling; computer simulation

Indexed keywords

ARTIFICIAL PANCREAS; BAYESIAN ESTIMATIONS; COMPARTMENT MODEL; INDIVIDUAL VARIABILITY; INSULIN INFUSION PUMPS; MARKOV CHAIN MONTE-CARLO; POSTERIOR DISTRIBUTIONS; TIME VARYING PARAMETER;

ALGORITHMS; ARTIFICIAL ORGANS; BAYESIAN NETWORKS; CLOSED LOOP SYSTEMS; COMPUTER SIMULATION; GLUCOSE; INSULIN; PHYSIOLOGICAL MODELS; PHYSIOLOGY; PROBABILITY DISTRIBUTIONS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

POPULATION STATISTICS;

INSULIN; ANTIDIABETIC AGENT; GLUCOSE BLOOD LEVEL;

ADOLESCENT; ARTICLE; CLINICAL ARTICLE; CLONING; CLOSED LOOP GLUCOSE CONTROLLER; COMPUTER MODEL; HUMAN; INSULIN BLOOD LEVEL; INSULIN DEPENDENT DIABETES MELLITUS; MEDICAL DEVICE; PHYSIOLOGICAL PROCESS; SIMULATOR; STOCHASTIC MODEL; VIRTUAL REALITY; ALGORITHM; BIOLOGICAL MODEL; CHILD; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 1; DRUG EFFECTS; GLUCOSE BLOOD LEVEL;

ADOLESCENT; ALGORITHMS; BLOOD GLUCOSE; CHILD; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 1; HUMANS; HYPOGLYCEMIC AGENTS; INSULIN; MODELS, BIOLOGICAL;

EID: 84889597233     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2272736     Document Type: Article

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