Recurrent wavefront morphologies: A method for quantifying the complexity of epicardial activation patterns

Annals of Biomedical Engineering

Volumn 25, Issue 5, 1997, Pages 761-768

  Rogers, Jack M ^a,c   Usui, Masahiro ^a   KenKnight, Bruce H ^b   Ideker, Raymond E ^a   Smith, William M ^a  

^a University of Alabama at Birmingham   (United States)

^b BOSTON SCIENTIFIC CORPORATION   (United States)

^c UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

Author keywords

Algorithm; Cardiac mapping; Organization; Quantitative analysis; Signal processing; Software

Indexed keywords

ALGORITHMS; COMPUTER SOFTWARE; CORRELATION METHODS; MATHEMATICAL TECHNIQUES; SIGNAL PROCESSING; WAVEFRONTS;

CARDIAC MAPPING; EPICARDIAL ACTIVATION PATTERNS;

CARDIOLOGY;

ALGORITHM; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; EPICARDIUM MAPPING; HEART VENTRICLE FIBRILLATION; NONHUMAN; SIGNAL PROCESSING; WAVEFORM;

ALGORITHMS; ANIMALS; BIOMEDICAL ENGINEERING; ELECTRODES; ELECTROPHYSIOLOGY; PERICARDIUM; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; SWINE; VENTRICULAR FIBRILLATION;

EID: 0031238746     PISSN: 00906964     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02684160     Document Type: Article

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