• DocumentCode
    760846
  • Title

    Phase-Rectified Signal Averaging Used to Estimate the Dominant Frequencies in ECG Signals During Atrial Fibrillation

  • Author

    Lemay, Mathieu ; Prudat, Yann ; Jacquemet, Vincent ; Vesin, Jean-Marc

  • Author_Institution
    Signal Process. Inst., Ecole Polytech. Fed. de Lausanne, Lausanne
  • Volume
    55
  • Issue
    11
  • fYear
    2008
  • Firstpage
    2538
  • Lastpage
    2547
  • Abstract
    Phase-rectified signal averaging (PRSA) is a technique recently introduced to enhance quasi-periodic signal components. An important parameter that can be extracted from surface ECG is the dominant frequency (DF) of atrial fibrillation (AF). AF signal components are always highly contaminated by the ventricular complexes, and the cancellation of these components is never perfect. The remaining artifacts tend to induce erroneous DF estimates. In this paper, we report on the use of PRSA in the context of noninvasive AF classification procedures for improving DF estimation. The potential of PRSA is demonstrated by experiments both on synthetic and clinical ECG signals.
  • Keywords
    electrocardiography; medical signal processing; ECG signals; atrial fibrillation; dominant frequency; phase-rectified signal averaging; ventricular complexes; Atrial fibrillation; Biomedical signal processing; Diseases; Electrocardiography; Frequency estimation; Inspection; Medical treatment; Myocardium; Phase estimation; Signal analysis; Signal processing; Surface contamination; USA Councils; Atrial fibrillation (AF); dominant frequency (DF); electrocardiogram (ECG); phase-rectified signal averaging (PRSA); Algorithms; Atrial Fibrillation; Computer Simulation; Electrocardiography; Humans; Models, Cardiovascular; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2008.2001296
  • Filename
    4547471