W. Wichterle and . Zareba, Heart rate turbulence: standards of measurement, physiological interpretation, and clinical use: International Society for Holter and Noninvasive Electrophysiology Consensus, Journal of the American College of Cardiology, vol.52, pp.1353-65, 2008.

]. Hc, ]. D. Bazett, J. Boon, J. J. Van-goudoever, G. A. Piek et al., An analysis of time relations of the electrocardiogramST segment depression criteria and the prevalence of silent cardiac ischemia in hypertensives, Heart Hypertension, vol.7, issue.41, pp.353-70, 1920.

]. J. Brouwer, D. J. Van-veldhuisen, and A. J. , Man in 't Veld, 1996.

K. R. Dijk, F. Visser, P. H. Boomsma, and . Dunselman, Prognostic value of heart rate variability during long-term follow-up in patients with mild to moderate heart failure. The Dutch Ibopamine Multicenter Trial Study Group, J Am Coll Cardiol, vol.28, pp.1183-1192, 1996.

]. R. Dubois, P. Maison-blanche, B. Quenet, and G. Dreyfus, Automatic ECG wave extraction in long-term recordings using Gaussian mesa function models and nonlinear probability estimators, Computer Methods and Programs in Biomedicine, vol.88, issue.3, pp.217-250, 2007.
DOI : 10.1016/j.cmpb.2007.09.005

G. Blanche and . Dreyfus, Efficient modeling of ECG waves for morphology tracking, Computers in Cardiology, vol.36, pp.313-316, 2009.

A. Beaufils, ]. Y. Leenhardt, K. Gang, J. Hnatkova, M. Gimeno et al., 1072-216 Evaluation of QRS wave residuum and risk of sudden cardiac deathTime domain measurements of heart rate variabilityHeart rate variability, Ann Noninvasive Electrocardiol Journal of the American College of Cardiology Cardiology Clinics Clin Cardiol, vol.12, issue.13, pp.354-63, 1990.

U. Malik, A. James, and . Joseph, The effect of mental stress on the non-dipolar components of the T wave: modulation by hypnosis, Psychosom Med, vol.67, pp.376-83, 2005.

]. W. Whang, D. Shimbo, E. B. Levitan, J. D. Newman, P. M. Rautaharju et al., Relations Between QRS|T Angle, Cardiac Risk Factors, and Mortality in the Third National Health and Nutrition Examination Survey (NHANES III), The American Journal of Cardiology, vol.109, issue.7, pp.981-988, 2012.
DOI : 10.1016/j.amjcard.2011.11.027

]. T. Yamazaki, V. F. Froelicher, J. Myers, S. Chun, and P. Wang, Spatial QRS-T angle predicts cardiac death in a clinical population, Heart Rhythm, vol.2, issue.1, pp.73-81, 2005.
DOI : 10.1016/j.hrthm.2004.10.040

. Malik, Analysis of 12-lead T-wave morphology for risk stratification after myocardial infarction, Circulation, vol.102, pp.1252-1259, 2000.

V. Références-[-broyden and ]. C. Broyden, The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations, IMA Journal of Applied Mathematics, vol.6, issue.1, pp.76-90, 1970.
DOI : 10.1093/imamat/6.1.76

]. G. Cybenko-]-g, J. M. Dreyfus, and . Martinez, Approximation by superpositions of a sigmoidal function Mathematics of Control, Signals and Systems, pp.303-314, 1989.

A. S. Thiria, E. Geman, R. Bienenstock, and . Doursat, Réseaux de neurones -Cartes topologiques -Machines à vecteurs supports: Eyrolles, Neural Networks and the Bias/Variance Dilemma, pp.1-58, 1992.

]. H. Gish, A probabilistic approach to the understanding and training of neural network classifiers, International Conference on Acoustics, Speech, and Signal Processing, pp.1361-1364, 1990.
DOI : 10.1109/ICASSP.1990.115636

]. A. Krogh, J. P. Hertz-]-r, and . Lippmann, A Simple Weight Decay Can Improve GeneralizationCross-validation estimates IMSE, Advances in Neural Information Processing SystemsNeural Networks, Bayesian a posteriori Probabilities, and Pattern Classification, pp.950-957, 1992.

]. M. Richard, R. P. Lippmann, D. Cannom, and J. Daubert, Probabilities, Multicenter Automatic Defibrillator Implantation Trial II (MADIT II): Design and Clinical Protocol, pp.461-48383, 1991.
DOI : 10.1162/neco.1989.1.4.425

G. Bardy, Amiodarone or an implantable cardioverter-defibrillator for congestive heart failure, The New England Journal of Medicine, vol.252, issue.3, pp.225-262, 2005.

A. Gehi, D. Haas, and V. Fuster, Primary Prophylaxis With the Implantable Cardioverter-Defibrillator, JAMA, vol.294, issue.8, pp.958-960, 2005.
DOI : 10.1001/jama.294.8.958

P. Coumel, The management of clinical arrhythmias. An overview on invasive versus non-invasive electrophysiology, European Heart Journal, vol.8, issue.2, pp.92-99, 1987.
DOI : 10.1093/oxfordjournals.eurheartj.a062259

H. Stoppiglia, G. Dreyfus, R. Dubois, and Y. Oussar, Ranking a random feature for variable and feature selection, Journal of Machine Learning Research, vol.3, pp.1399-1414, 2003.

D. Modha and Y. Fainman, A learning law for density estimation, IEEE Transactions on Neural Networks, vol.5, issue.3, pp.519-523, 1994.
DOI : 10.1109/72.286931

N. Qian, On the momentum term in gradient descent learning algorithms, Neural Networks, vol.12, issue.1, pp.145-151, 1999.
DOI : 10.1016/S0893-6080(98)00116-6

P. Gill, W. Murray, and M. Wright, Practical Optimization, 1981.

D. Mackay, A Practical Bayesian Framework for Backpropagation Networks, Neural Computation, vol.4, issue.3, pp.448-472, 1992.
DOI : 10.1038/323533a0

C. Cappelaere, Sorin CRM 4 av