• DocumentCode
    3748965
  • Title

    Surface ECG spectral analysis to predict atrial fibrillation catheter ablation long-term outcome

  • Author

    R Alcaraz;F Hornero;L F?cila;JJ Rieta

  • Author_Institution
    Research Group in Electronic, Biomedical and Telecomm. Eng., Univ. of Castilla-La Mancha, Spain
  • fYear
    2015
  • Firstpage
    489
  • Lastpage
    492
  • Abstract
    Catheter ablation (CA) has emerged recently as an effective tool to treat atrial fibrillation (AF), which is today the most common cardiac arrhythmia. However, the long-term AF recurrence rate is about 50% for patients in persistent AF. As a consequence the optimal selection of patients for the procedure remains as an interesting clinical challenge. To this respect, the dominant atrial frequency (DAF) analysis from the surface ECG has been widely studied in recent years, reporting promising results. In the present work two additional spectral metrics complementing the information provided by the DAF, such as its 3 dB bandwidth (BW) and the median frequency (MF), are for the first time studied. Results provided no statistically significant differences for the DAF as well as the BW between patients with and without freedom from AF after a mean follow-up of 12±7 months. In contrast, a statistically significant greater MF was observed in patients maintaining sinus rhythm (6.42±0.17 Hz) than for those who relapsed to AF during the folow-up (6.03±0.30 Hz). Moreover, the MF provided sensitivity, specificity and accuracy values of 83.33%, 100% and 91.67%, respectively. Hence, the MF could be considered as a more promising harbinger of long-term CA outcome than the DAF. Further studies in wider databases should validate this preliminar finding.
  • Keywords
    "Electrocardiography","Feature extraction","Sensitivity","Catheters","Standards","Rhythm"
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2015
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-5090-0685-4
  • Electronic_ISBN
    2325-887X
  • Type

    conf

  • DOI
    10.1109/CIC.2015.7410954
  • Filename
    7410954