Wavelet-based features for characterizing ventricular arrhythmias in optimizing treatment options

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 969-972

  Balasundaram, K ^a   Masse, S ^b   Nair, K ^b   Farid, T ^b   Nanthakumar, K ^b   Umapathy, K ^a  

^a RYERSON UNIVERSITY   (Canada)

^b TORONTO GENERAL HOSPITAL   (Canada)

Author keywords

Human Ventricular Fibrillation; Pattern Classification; Ventricular Tachycardia; Wavelet Analysis

Indexed keywords

CARDIAC ARRHYTHMIA; ELECTRIC SHOCK; ELECTRICAL ACTIVITIES; ELECTROGRAMS; IMPLANTABLE DEFIBRILLATORS; REAL-WORLD PROCESS; SMALL POPULATION; VENTRICULAR ARRHYTHMIAS; VENTRICULAR FIBRILLATION; VENTRICULAR TACHYCARDIA; WAVELET-BASED FEATURE;

DISEASES; ELECTRIC ACCIDENTS; PATIENT TREATMENT; PATTERN RECOGNITION; POPULATION STATISTICS; WAVELET ANALYSIS;

DEFIBRILLATORS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED THERAPY; ELECTROCARDIOGRAPHY; HEART VENTRICLE FIBRILLATION; HEART VENTRICLE TACHYCARDIA; HUMAN; METHODOLOGY; PATIENT SELECTION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; WAVELET ANALYSIS;

ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; HUMANS; PATIENT SELECTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TACHYCARDIA, VENTRICULAR; THERAPY, COMPUTER-ASSISTED; VENTRICULAR FIBRILLATION; WAVELET ANALYSIS;

EID: 84861955449     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090219     Document Type: Conference Paper

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