• DocumentCode
    3562054
  • Title

    Non-invasive detection of reentrant drivers during atrial fibrillation: A clinical-computational study

  • Author

    Rodrigo, Miguel ; Climent, Andreu M. ; Liberos, Alejandro ; Pedron-Torrecilla, Jorge ; Millet, Jose ; Fernandez-Aviles, Francisco ; Atienza, Felipe ; Berenfeld, Omer ; Guillem, Maria S.

  • Author_Institution
    Univ. Politec. de Valencia, Valencia, Spain
  • fYear
    2014
  • Firstpage
    9
  • Lastpage
    12
  • Abstract
    Reentrant drivers or mother rotors have been defined as a mechanism responsible of atrial fibrillation (AF) maintenance whose ablation can terminate the fibrillatory episodes. This study presents a novel non-invasive approach to identify atrial reentrant patterns. High-density surface potential recordings were obtained from 14 AF patients and singularity points (SP) were located in the torso phase maps after band-pass filtering at the highest dominant frequency. An atrial-torso computer model was used to investigate the effect of the band-pass filtering on the electric potential signal. Stable SPs were found during 73.1+16.8% of time after band-pass filtering vs. 8.3+5.7% on raw signals. Surface SPs representing atrial rotors were detected at specific torso areas related with their atrial location. Phase analysis after band-pass filtering can detect atrial drivers. helping to plan the best therapy strategies.
  • Keywords
    band-pass filters; bioelectric potentials; electrocardiography; filtering theory; medical disorders; medical signal detection; medical signal processing; ECG; ablation; atrial fibrillation; atrial-torso computer model; band-pass filtering; electric potential signal; electrocardiograms; high-density surface potential recordings; noninvasive detection; phase analysis; reentrant drivers; singularity points; torso phase maps; Abstracts; Computational modeling; Lead; Modulation; Rotors; Torso;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2014
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4799-4346-3
  • Type

    conf

  • Filename
    7042966