Advertisement

A New Method to Estimate Atrial Fibrillation Temporal Organization from the Surface Fibrillatory Waves Repetitiveness

  • R. Alcaraz
  • F. Hornero
  • J. J. Rieta
Part of the IFMBE Proceedings book series (IFMBE, volume 41)

Abstract

Analysis of the electrical activity organization within the atria can reveal interesting clinical information related to atrial fibrillation (AF), which is the most commonly diagnosed arrhythmia in clinical practice. However, a very reduced number of indirect AF organization estimators from the surface electrocardiogram (ECG) have been proposed to date. The present work introduces a new method for direct and short-time AF organization estimation from each surface lead of ECG recordings. The temporal arrhythmia organization was estimated through the computation of morphological variations among single fibrillatory (f) waves. They were delineated and extracted from the atrial activity (AA) signal using an adaptive signed correlation index. The algorithm was tested on real AF recordings to discriminate atrial signals with different organization degrees. Results indicated a notably higher global accuracy (90.3%) in comparison with the two non-invasive AF organization estimates widely used today: the dominant atrial frequency (70.5%) and sample entropy (76.1%). Moreover, due to its ability to assess AA regularity wave-to-wave, the proposed method was also able to pursue AF organization time course more precisely than the aforementioned indices.

Keywords

Atrial Fibrillation Electrocardiogram Organization Correlation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • R. Alcaraz
    • 1
  • F. Hornero
    • 2
  • J. J. Rieta
    • 3
  1. 1.Innovation in Bioengineering Research GroupUniversity of Castilla-La ManchaCuencaSpain
  2. 2.Cardiac Surgery DepartmentGeneral University Hospital Consortium of ValenciaValenciaSpain
  3. 3.Biomedical Synergy, Electronic Engineering DepartmentUniversidad Politécnica de ValenciaValenciaSpain

Personalised recommendations