Non-invasive continuous glucose monitoring: Improved accuracy of point and trend estimates of the Multisensor system

Medical and Biological Engineering and Computing

Volumn 50, Issue 10, 2012, Pages 1047-1057

  Zanon, Mattia ^a   Sparacino, Giovanni ^a   Facchinetti, Andrea ^a   Riz, Michela ^a   Talary, Mark S ^b   Suri, Roland E ^c   Caduff, Andreas ^b   Cobelli, Claudio ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b not available   (Switzerland)

^c NONE

Author keywords

Diabetes; Glucose sensor; Linear regression; Multivariate models; Self monitoring blood glucose

Indexed keywords

BLOOD GLUCOSE; CLINICAL PRACTICES; CONTINUOUS GLUCOSE MONITORING; CRITICAL EVENTS; DIABETES MANAGEMENT; DIABETIC PATIENT; GLUCOSE LEVEL; HUMAN BEING; HYPOGLYCAEMIA; LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATORS; MODEL IDENTIFICATION; MODEL TESTS; MULTI SENSOR; MULTI-SENSOR DATA; MULTI-SENSOR PLATFORMS; MULTIVARIATE LINEAR REGRESSION MODEL; MULTIVARIATE MODELS; ORDINARY LEAST SQUARES; PARTIAL LEAST SQUARE (PLS); ROBUST MODELS; SCIENTIFIC COMMUNITY; SELF-MONITORING; SELF-MONITORING BLOOD GLUCOSE; SHORT TIME SCALE; SUBSET VARIABLE SELECTION; SWITZERLAND;

BLOOD; ESTIMATION; GLUCOSE; LINEAR REGRESSION; MATHEMATICAL MODELS; MEDICAL PROBLEMS; SENSORS; SHRINKAGE;

GLUCOSE SENSORS;

ADULT; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BLOOD; BLOOD GLUCOSE MONITORING; EVALUATION STUDY; GENETIC PROCEDURES; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; METHODOLOGY; MIDDLE AGED; SIGNAL PROCESSING;

ADULT; ALGORITHMS; BIOSENSING TECHNIQUES; BLOOD GLUCOSE SELF-MONITORING; DIABETES MELLITUS, TYPE 1; HUMANS; MIDDLE AGED; MODELS, BIOLOGICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84867858045     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-012-0932-6     Document Type: Article

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