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
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