Methodology for hypoglycaemia detection based on the processing, analysis and classification of the electroencephalogram

Medical and Biological Engineering and Computing

Volumn 43, Issue 4, 2005, Pages 501-507

  Iaione, F ^a   Marques, Jefferson Luiz Brum ^a  

^a FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

Author keywords

Digital signal processing; Electroencephalogram; Hypoglycaemia

Indexed keywords

BLOOD; DIGITAL SIGNAL PROCESSING; GLUCOSE; INSULIN; NEURAL NETWORKS; PATIENT TREATMENT; PATTERN RECOGNITION; SPECTRUM ANALYSIS;

ARTIFICIAL NEURAL NETWORK CLASSIFICAITION; DIABETES; HYPOGLYCAEMIA;

ELECTROENCEPHALOGRAPHY;

GLUCOSE; INSULIN;

ADULT; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; CLINICAL ARTICLE; CONTROLLED STUDY; DIABETES MELLITUS; DIAGNOSTIC ACCURACY; ELECTROENCEPHALOGRAM; FEMALE; GLUCOSE BLOOD LEVEL; HUMAN; HYPOGLYCEMIA; MALE; METHODOLOGY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ADULT; DIABETES MELLITUS, TYPE 1; ELECTROENCEPHALOGRAPHY; ELECTRONICS, MEDICAL; FEMALE; HUMANS; HYPOGLYCEMIA; INSULIN; MALE; MIDDLE AGED; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 27744474714     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02344732     Document Type: Article

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