P-wave parameters for atrial fibrillation risk detection

Author

Clavier, Laurent ; Boucher, Jean Marc ; Blanc, Jean Jacques

Author_Institution

LATIM, Nationale Superieure des Telecommun. de Bretagne, Brest, France

Volume

4

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1367

Abstract

Atrial fibrillation (AF) is a frequent heart disease but can still not be predicted. However, several studies of the electrocardiogram P-wave have shown that some parameters, in the time domain as well as in the frequency domain, can discriminate people at risk of AF. The goal of this study is to find the best parameters and to evaluate their limits. We have classified people at risk of AF in four categories, depending on their P-wave pattern, trying to link each pattern to anatomical and electrical features

Keywords

electrocardiography; frequency-domain analysis; medical signal processing; time-domain analysis; P-wave parameters; anatomical features; arrhythmia; atrial fibrillation risk detection; electrical features; electrocardiogram; frequency domain parameters; time domain parameters; Artificial intelligence; Atrial fibrillation; Cardiac disease; Cardiology; Databases; Electrocardiography; Frequency; Surface morphology; Surface waves; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.647457

Filename

647457