DocumentCode :
541501
Title :
Susceptibility to paroxysmal atrial fibrillation: A study using sinus rhythm P wave parameters
Author :
Cabasson, A. ; Dang, L. ; Vesin, J.M. ; Kappenberger, L. ; Leber, R. ; Abächerli, R.
Author_Institution :
Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
105
Lastpage :
108
Abstract :
Early recognition of patients at high risk for atrial fibrillation may help to minimize potential health risks. The detection of susceptibility to develop atrial fibrillation is thus a real clinical challenge. Whereas many studies have used the signal-averaged P wave, the aim of this work is to determine whether electrocardiographic parameters resulting from the analysis of the P wave in ECG recorded during sinus rhythm could be markers for paroxysmal atrial fibrillation susceptibility. Our idea was to compare the ECG in sinus rhythm from two populations: healthy people and patients subject to paroxysmal atrial fibrillation. In addition to standard P wave parameters (P width, P-R interval,...), the Euclidean distance between beat-to-beat P waves, which has been rarely addressed in this context, was studied on lead V1. Significant differences between the healthy and the paroxysmal atrial fibrillation groups were obtained for various parameters. Moreover, a classification of the two groups based on the joint analysis of P width and P-R interval was suggested. This proposed classification could lead to an effective identification of patients at risk to develop atrial fibrillation.
Keywords :
diseases; electrocardiography; medical signal processing; signal classification; ECG; Euclidean distance; P wave analysis; early atrial fibrillation risk recognition; electrocardiographic parameters; high risk atrial fibrillation patients; paroxysmal atrial fibrillation susceptibility; sinus rhythm P wave parameters; Atrial fibrillation; Electrocardiography; Euclidean distance; Heart rate; Lead; Rhythm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology, 2010
Conference_Location :
Belfast
ISSN :
0276-6547
Print_ISBN :
978-1-4244-7318-2
Type :
conf
Filename :
5737920
Link To Document :
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