• DocumentCode
    3562251
  • Title

    Noise and spatial-resolution effect of electrode array on rotor tip location during atrial fibrillation: A simulation study

  • Author

    Becerra, Miguel A. ; Murillo-Escobar, Juan ; Palacio, Laura C. ; Tobon Zuluaga, Catalina

  • Author_Institution
    Institucion Univ. Salazar y Herrera, Medellin, Colombia
  • fYear
    2014
  • Firstpage
    797
  • Lastpage
    800
  • Abstract
    Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. Recently, a mechanism for maintaining the AF which consists of one or more rotors activating the tissue at high frequency has been proposed. Ablation is one of the treatments for AF whose effectiveness could depend on the localization of the rotor tip. In a previous research, the approximate entropy (ApEn) was proposed as an effective rotor tip detection system. However, this system was validated with an array of 22500 electrodes providing one noise-free simulated electrogram per electrode, which can be considered as a system distant to the reality. In this work, three analyses from simulated electrograms obtained from 2D model of human atrial tissue under chronic AF conditions for rotor tip detection are presented. The first one with noise-free, the second one with noise of real electrograms (NoRE), and the third one is done by applying the Kalman filter (KF) on the simulated electrograms with NoRE. In each case, the effect of the dimension of electrodes array is analyzed with relationships of equidistant reduction rows-column from 2-2 to 6-6. This comparison showed that the noise has a greater negative effect than the one generated by the decrease of resolution in electrodes array, and despite of the acceptable Kalman filter´s performance for increasing the SNR significantly, the accuracy is lower than the results obtained with electrograms with NoRE but adequate for locating the rotor tip.
  • Keywords
    Kalman filters; bioelectric potentials; biological tissues; biomedical electrodes; medical disorders; medical signal processing; signal denoising; 2D model; Kalman filter; SNR; approximate entropy; arrhythmia; atrial fibrillation; chronic AF conditions; electrode array; equidistant reduction rows; equidistant reduction-column; human atrial tissue; noise-free simulated electrogram; patient treatment; rotor tip detection; rotor tip location; spatial-resolution effect; Abstracts; Arrays; Electrodes; Entropy; Noise; Rotors; Vectors;
  • 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
    7043163