Support vector black-box interpretation in ventricular arrhythmia discrimination

IEEE Engineering in Medicine and Biology Magazine

Volumn 21, Issue 1, 2002, Pages 27-35

  Rojo Álvarez, José L ^a   Arenal Maíz, Ángel ^b   Artés Rodríguez, Antonio ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

^b HOSPITAL GENERAL UNIVERSITARIO GREGORIO MARAÑÓN   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; COVARIANCE; ELECTROGRAPHY; GEOMETRY; HEART VENTRICLE ARRHYTHMIA; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; STATISTICS; TACHYCARDIA; VECTORCARDIOGRAPHY;

ALGORITHMS; BUNDLE OF HIS; DIAGNOSIS, DIFFERENTIAL; ELECTROCARDIOGRAPHY; EVALUATION STUDIES; FEEDBACK; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY; TACHYCARDIA, SUPRAVENTRICULAR; TACHYCARDIA, VENTRICULAR;

EID: 0036209574     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/51.993191     Document Type: Article

References (9)

1. Discriminating between supraventricular and ventricular tachycardias from EGM onset analysis
2. A tutorial on support vector machines for pattern recognition
3. Analysis of the intraventricular electrogram for differentiation of distinct monomorphic ventricular arrhythmias
4. Real-time discrimination of ventricular tachyarrhythmia with Fourier-transform neural network
5. Intracardiac QRS electrogram width. An arrhythmia detection feature for implantable cardioverter defibrillator. Exercise induced variation as a base for device programming
6. Detection and identification of cardiac arrhythmias using an adaptive, linear-predictive filter