A high-temporal resolution algorithm for quantifying organization during atrial fibrillation

IEEE Transactions on Biomedical Engineering

Volumn 46, Issue 4, 1999, Pages 440-450

  Sih, Haris J ^a,c   Zipes, Douglas P ^a,c   Berbari, Edward J ^a,b,c   Olgin, Jeffrey E ^a,b,c  

^a INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b INDIANA UNIVERSITY   (United States)

^c Indiana University Purdue University Indianapolis   (United States)

Author keywords

Adaptive filtering; Atrial fibrillation (AF); Signal processing; Tachyarrhythmia organization

Indexed keywords

ADAPTIVE FILTERING; ALGORITHMS; FUNCTIONAL ELECTRIC STIMULATION; SIGNAL PROCESSING;

ATRIAL FIBRILLATION; TACHYARRHYTHMIA ORGANIZATION;

ELECTROCARDIOGRAPHY;

ADENOSINE;

ALGORITHM; ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; BIOMEDICAL ENGINEERING; CONTROLLED STUDY; DEFIBRILLATION; DOG; ELECTROGRAPHY; EPICARDIUM MAPPING; FILTER; HEART ATRIUM FIBRILLATION; HEART ATRIUM FLUTTER; MICROELECTRODE; NONHUMAN; PHARMACOLOGICAL STIMULATION; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SINUS RHYTHM; VAGUS NERVE STIMULATION;

ALGORITHMS; ANIMALS; ATRIAL FIBRILLATION; DOGS; ELECTROPHYSIOLOGY; LINEAR MODELS; MODELS, CARDIOVASCULAR; NONLINEAR DYNAMICS; PERICARDIUM; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0032948822     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.752941     Document Type: Article

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