Detection of life-threatening arrhythmias using feature selection and support vector machines

IEEE Transactions on Biomedical Engineering

Volumn 61, Issue 3, 2014, Pages 832-840

  Alonso Atienza, Felipe ^a   Morgado, Eduardo ^a   Fernandez Martinez, Lorena ^a   Garcia Alberola, Arcadi ^b   Rojo Alvarez, Jose Luis ^a  

^a UNIVERSIDAD REY JUAN CARLOS   (Spain)

^b HOSPITAL UNIVERSITARIO VIRGEN DE LA ARRIXACA   (Spain)

Author keywords

Feature selection (FS); support vector machines (SVM); ventricular fibrillation (VF) detection

Indexed keywords

DETECTION ALGORITHM; DETECTION PERFORMANCE; MEDICAL IMAGING TECHNOLOGY; STATISTICAL LEARNING; VENTRICULAR ARRHYTHMIAS; VENTRICULAR FIBRILLATION; VENTRICULAR FIBRILLATION DETECTION; VENTRICULAR TACHYCARDIA;

ALGORITHMS; DATABASE SYSTEMS; ELECTROCARDIOGRAPHY; MEDICAL IMAGING; SIGNAL DETECTION;

SUPPORT VECTOR MACHINES;

AREA UNDER THE CURVE; ARTICLE; BOOTSTRAPPING; CARDIOVASCULAR PARAMETERS; CLASSIFIER; CORRELATION COEFFICIENT; DEFIBRILLATION; DIAGNOSTIC IMAGING; ELECTROCARDIOGRAM; FOURIER ANALYSIS; HEART RHYTHM; HEART SUPRAVENTRICULAR ARRHYTHMIA; HEART VENTRICLE ARRHYTHMIA; HEART VENTRICLE FIBRILLATION; HEART VENTRICLE TACHYCARDIA; INDEPENDENT COMPONENT ANALYSIS; LEARNING ALGORITHM; LIFE THREAT; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SINUS RHYTHM; SUPPORT VECTOR MACHINE; TEMPORAL ANALYSIS;

DATABASES, FACTUAL; ELECTROCARDIOGRAPHY; HUMANS; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINES; TACHYCARDIA, VENTRICULAR; VENTRICULAR FIBRILLATION;

EID: 84896885336     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2290800     Document Type: Article

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