Abstract: . . .  A.M. Patel, D.C. Westveer, K.C. Man, J.R. Stewart, H.I. Frumin, Treatment of underlying atrial fibrillation : paced rhythm obscures recognition, J am coll cardiol , 36:784-7, 2000. [4] A.Filippi, G. Bettoncelli, A. Zaninelli, Detected atrial fibrillation in north italy : rates, calculated stroke risk and proportion of patients receiving thrombo-prophylaxis, Fam Pract ; 14:337-9, 2000. [5] L.Clavier, J.M. Boucher, R.Lepage, J.J Blanc, J.C Cornily " Automatic P-wave analysis of patients prone to atrial fibrillation ", Medical & Biological . . .
. . .  feature extraction: application to patients prone to atrial fibrillation , 23 Annual. Intern Conf of IEEE Medecine and Biology Society . Istanbul, vol 1, pp. 298-302, 2001. [9] D. Lemire, C. Pharand, J.C. Rajaonah, B.Dube and A.R. Leblanc, Wavelet time entropy, T-wave morphology and myocardial ischemia, IEEE Trans. Biomed.Eng , 47, pp. 967-970, 2000. [10] V.Vapnik, 1995, The nature of statistical learning theory , NY : Springer-Verlag,  . . .
. . .  E.J.Benjamin, P.A.Wolf, R.B. Dagostino, H. Silbershatz, B.K. Kannel, D. Levy, Impact of atrial fibrillation on the risk of death, Circulation ,98 : 946-52, 1998. [3] A.M. Patel, D.C. Westveer, K.C. Man, J.R. Stewart, H.I. Frumin, Treatment of underlying atrial fibrillation : paced rhythm obscures recognition, J am coll cardiol , 36:784-7, 2000. [4] A.Filippi, G. Bettoncelli, A. Zaninelli, Detected atrial fibrillation in north italy : rates, calculated stroke risk and proportion of patients receiving thrombo-prophylaxis, Fam Pract ; 14:337-9, 2000.  . . .
. . .  with Brest University Hospital. The signal was sampled at 1KHz and, only for P-wave delineation, was bandpass filtered between 0.01 Hz and 40 Hz. The record lasted 1 min ( about 60 beats ). To detect patient prone to AF, we considered 112 patients divided into two groups. The control group include 40 people ( 38.4 years old 14.0 ) without any history of atrial tachycardia. The study group included 72 patients ( 61.4 years old 13.8 ) with documented AF treatment who had sinus rhythm restored a few hours or days before . . .
. . .  calculated from the P-wave. The detection efficiency was validated on an ECG database of 112 patients, including a control group of 40 people and a study group of 72 patients with documented AF. A Support Vector Machine method ( SVM ) was applied, and the results obtained showed a specificity of 90% and a sensitivity of 85.7%. This represents an increase of more than 20% compared to two other classical classification methods : discriminant analysis and neural network. Keywords Classification, SVM, Atrial fibrillation . . .
--3000,5,300,3266,18765