Title :
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
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.647457
