Real-time glucose estimation algorithm for continuous glucose monitoring using autoregressive models

Journal of Diabetes Science and Technology

Volumn 4, Issue 2, 2010, Pages 391-403

  Leal, Yenny ^a   Garcia Gabin, Winston ^a   Bondia, Jorge ^b   Esteve, Eduardo ^c,d   Ricart, Wifredo ^c,d   Fernández Real, Jose Manuel ^c,d   Vehí, Josep ^a  

^a UNIVERSITY OF GIRONA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^c GIRONA BIOMEDICAL RESEARCH INSTITUTE IDIBGI   (Spain)

^d Instituto de Salud Carlos III   (Spain)

Author keywords

Autoregressive model; Continuous glucose monitoring; Hypoglycemia; Type 1 diabetes

Indexed keywords

GLYCOSYLATED HEMOGLOBIN; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LIPID; LOW DENSITY LIPOPROTEIN CHOLESTEROL;

ADULT; ALGORITHM; AMBULATORY MONITORING; ARTICLE; BIOLOGICAL MODEL; BLOOD; CALIBRATION; CAPILLARY; CLINICAL TRIAL; FEMALE; GLUCOSE BLOOD LEVEL; HUMAN; HYPOGLYCEMIA; INSULIN DEPENDENT DIABETES MELLITUS; MALE; METABOLISM; METHODOLOGY; ONSET AGE; POSTPRANDIAL STATE; REGRESSION ANALYSIS; REPRODUCIBILITY; STANDARD; TIME;

ADULT; AGE OF ONSET; ALGORITHMS; BLOOD GLUCOSE; CALIBRATION; CAPILLARIES; CHOLESTEROL, HDL; CHOLESTEROL, LDL; CLINICAL TRIALS AS TOPIC; DIABETES MELLITUS, TYPE 1; FEMALE; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; HYPOGLYCEMIA; LIPIDS; MALE; MODELS, BIOLOGICAL; MONITORING, AMBULATORY; POSTPRANDIAL PERIOD; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 77954931627     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229681000400221     Document Type: Article

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