• DocumentCode
    1755364
  • Title

    Visualizing intracardiac atrial fibrillation electrograms using spectral analysis

  • Author

    Salinet, J.L. ; Oliveira, G.N. ; Vanheusden, Frederique J. ; Comba, Joao L. D. ; Ng, G. Andre ; Schlindwein, Fernando S.

  • Author_Institution
    Univ. of Leicester, Leicester, UK
  • Volume
    15
  • Issue
    2
  • fYear
    2013
  • fDate
    March-April 2013
  • Firstpage
    79
  • Lastpage
    87
  • Abstract
    Atrial fibrillation is the most common cardiac arrhythmia, and it is associated with increased risk of stroke, heart failure, and mortality. This work describes spectral analysis techniques that are being used in conjunction with visualization algorithms to help guide catheter ablation procedures that aim at treating patients with arrhythmia.
  • Keywords
    data visualisation; defibrillators; electrocardiography; medical signal processing; spectral analysis; cardiac arrhythmia; catheter ablation procedure; heart failure; intracardiac atrial fibrillation electrogram; mortality; spectral analysis; stroke; visualization algorithm; Atrial fibrillation; Cardiology; Catheters; Frequency-domain analysis; Heart; Real-time systems; Scientific computing; Spectral analysis; atrial fibrillation; intercardiac atrial electrograms; scientific computing; scientific visualization; spectral analysis;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2013.37
  • Filename
    6478759