Assessing common classification methods for the identification of abnormal repolarization using indicators of T-wave morphology and QT interval

Computers in Biology and Medicine

Volumn 42, Issue 4, 2012, Pages 485-491

  Shakibfar, Saeed ^a   Graff, Claus ^a   Ehlers, Lars H ^a   Toft, Egon ^a   Kanters, Jørgen K ^b,c   Struijk, Johannes J ^a  

^a AALBORG UNIVERSITY   (Denmark)

^b GENTOFTE UNIVERSITY HOSPITAL   (Denmark)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Discriminant analysis; Fuzzy clustering; Long QT syndrome; QT interval; T wave morphology

Indexed keywords

CLASSIFICATION ALGORITHM; CLASSIFICATION METHODS; CLASSIFICATION RULES; DATA SETS; LONG QT SYNDROME; NONLINEAR BOUNDARY; QT INTERVAL; REPOLARIZATION;

DISCRIMINANT ANALYSIS; ELECTROCARDIOGRAPHY; FUZZY CLUSTERING;

MORPHOLOGY;

SOTALOL;

ADULT; ALGORITHM; ARTICLE; ECG ABNORMALITY; ELECTROCARDIOGRAM; FEMALE; FUZZY SYSTEM; HEART REPOLARIZATION; HUMAN; INTERMETHOD COMPARISON; LONG QT SYNDROME; MALE; MORPHOLOGY; NORMAL HUMAN; PRIORITY JOURNAL; QT INTERVAL; SCORING SYSTEM; T WAVE;

ADULT; ALGORITHMS; CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; ELECTROCARDIOGRAPHY; FEMALE; FUZZY LOGIC; HUMANS; LONG QT SYNDROME; MALE; MULTIVARIATE ANALYSIS; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84858159708     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2012.01.001     Document Type: Article

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