S. Priori, C. Blomström-lundqvist, A. Mazzanti, N. Blom, M. Borggrefe et al., Task Force for the Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death of the European Society of Cardiology (ESC). 2015 ESC guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: the Task Force for the Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death of the European Society of Cardiology (ESC) endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), Europace, vol.17, pp.1601-1687, 2015.

S. G. Priori, A. A. Wilde, M. Horie, Y. Cho, E. R. Behr et al., Executive summary: HRS/EHRA/APHRS expert consensus statement on the diagnosis and management of patients with inherited primary arrhythmia syndromes, Europace, vol.15, issue.10, p.23994779, 2013.

P. Brugada and J. Brugada, Right bundle branch block, persistent ST segment elevation and sudden cardiac death: a distinct clinical and electrocardiographic syndrome: a multicenter report, Journal of the American College of Cardiology, vol.20, issue.6, p.1309182, 1992.
DOI : 10.1016/0735-1097(92)90253-j

URL : https://doi.org/10.1016/0735-1097(92)90253-j

J. Brugada, R. Brugada, and P. Brugada, Right bundle-branch block and st-segment elevation in leads V1 through V3 a marker for sudden death in patients without demonstrable structural heart disease. Circulation, vol.97, p.9490240, 1998.

C. Antzelevitch, Heart Rhythm Society

, Brugada syndrome: report of the second consensus conference: endorsed by the Heart Rhythm Society and the European Heart Rhythm Association, European Heart Rhythm Association, vol.111, issue.5, p.15655131, 2005.

V. Probst, C. Veltmann, L. Eckardt, P. Meregalli, F. Gaita et al., Long-term prognosis of patients diagnosed with Brugada syndrome results from the FINGER Brugada Syndrome Registry, Circulation, vol.121, issue.5, p.20100972, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00910144

K. Matsuo, T. Kurita, M. Inagaki, M. Kakishita, N. Aihara et al., The circadian pattern of the development of ventricular fibrillation in patients with Brugada syndrome, European heart journal, vol.20, issue.6, p.10213350, 1999.

P. Kies, T. Wichter, M. Schäfers, M. Paul, K. P. Schäfers et al., Abnormal myocardial presynaptic norepinephrine recycling in patients with Brugada syndrome, Circulation, vol.110, p.15520312, 2004.

T. Wichter, P. Matheja, L. Eckardt, P. Kies, K. Schäfers et al., Cardiac autonomic dysfunction in Brugada syndrome, Circulation, vol.105, issue.6, p.11839625, 2002.

M. Paul, M. Meyborg, P. Boknik, U. Gergs, W. Schmitz et al., Autonomic dysfunction in patients with Brugada syndrome: further biochemical evidence of altered signaling pathways, Pacing and Clinical Electrophysiology, vol.34, issue.9, p.21605134, 2011.

M. Bigi, A. Aslani, and A. Aslani, Significance of cardiac autonomic neuropathy in risk stratification of Brugada syndrome, Europace, vol.10, issue.7, p.18089621, 2008.

R. Krittayaphong, G. Veerakul, K. Nademanee, and C. Kangkagate, Heart rate variability in patients with Brugada syndrome in Thailand, European Heart Journal, vol.24, p.14522573, 2003.

J. S. Hermida, A. Leenhardt, B. Cauchemez, I. Denjoy, G. Jarry et al., Decreased nocturnal standard deviation of averaged NN intervals, European heart journal, vol.24, issue.22, p.14613743, 2003.

B. Pierre, D. Babuty, P. Poret, C. Giraudeau, O. Marie et al., Abnormal nocturnal heart rate variability and QT dynamics in patients with Brugada syndrome. Pacing and clinical electrophysiology, vol.30, p.17302702, 2007.

T. Tokuyama, Y. Nakano, A. Awazu, Y. Uchimura-makita, M. Fujiwra et al., Deterioration of the circadian variation of heart rate variability in Brugada syndrome may contribute to the pathogenesis of ventricular fibrillation, Journal of cardiology, vol.64, issue.2, p.24495503, 2014.

N. Behar, B. Petit, V. Probst, F. Sacher, G. Kervio et al., Heart rate variability and repolarization characteristics in symptomatic and asymptomatic Brugada syndrome, Europace, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01637189

A. Kostopoulou, M. Koutelou, G. Theodorakis, A. Theodorakos, E. Livanis et al., Disorders of the autonomic nervous system in patients with Brugada syndrome: a pilot study, Journal of cardiovascular electrophysiology, vol.21, issue.7, p.20132392, 2010.

K. Nakazawa, T. Sakurai, A. Takagi, R. Kishi, K. Osada et al., Autonomic imbalance as a property of symptomatic Brugada syndrome, Circulation journal, vol.67, issue.6, p.12808268, 2003.

K. Imai, H. Sato, M. Hori, H. Kusuoka, H. Ozaki et al., Vagally mediated heart rate recovery after exercise is accelerated in athletes but blunted in patients with chronic heart failure, Journal of the American College of Cardiology, vol.24, issue.6, p.7930286, 1994.

W. M. Savin, D. M. Davidson, and W. L. Haskell, Autonomic contribution to heart rate recovery from exercise in humans, Journal of Applied Physiology, vol.53, issue.6, p.7153152, 1982.

H. Makimoto, E. Nakagawa, H. Takaki, Y. Yamada, H. Okamura et al., Augmented ST-segment elevation during recovery from exercise predicts cardiac events in patients with Brugada syndrome, Journal of the American College of Cardiology, vol.56, issue.19, p.21029874, 2010.

A. S. Amin, E. A. De-groot, J. M. Ruijter, A. A. Wilde, and H. L. Tan, Exercise-Induced ECG Changes in Brugada Syndrome, Circulation: Arrhythmia and Electrophysiology, vol.2, issue.5, pp.531-539, 2009.

M. Subramanian, M. A. Prabhu, M. S. Harikrishnan, S. S. Shekhar, P. G. Pai et al., The utility of exercise testing in risk stratification of asymptomatic patients with Type 1 Brugada pattern, vol.28, p.28316113, 2017.

M. Calvo, P. Gomis, D. Romero, L. Rolle, V. Béhar et al., Heart rate complexity analysis in Brugada syndrome during physical stress testing, Physiological measurement, vol.38, issue.2, p.28134132, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01484699

S. Masrur, S. Memon, and P. D. Thompson, Brugada syndrome, exercise, and exercise testing, Clinical cardiology, vol.38, issue.5, p.25955277, 2015.

M. S. Lauer, P. M. Okin, M. G. Larson, J. C. Evans, and D. Levy, Impaired Heart Rate Response to Graded Exercise, Circulation, vol.93, issue.8, p.8608620, 1996.

R. J. Gibbons, G. J. Balady, J. T. Bricker, B. R. Chaitman, G. F. Fletcher et al., ACC/AHA 2002 guideline update for exercise testing: summary article: a report of the American College of Cardiology/ American Heart Association Task Force on Practice Guidelines (Committee to Update the 1997 Exercise Testing Guidelines), Journal of the American College of Cardiology, vol.40, issue.8, p.12392846, 2002.

. Fox-s-3rd and W. Haskell, Physical activity and the prevention of coronary heart disease, Bulletin of the New York Academy of Medicine, vol.44, issue.8, p.950, 1968.

J. Dumont, A. I. Hernandez, and G. Carrault, Improving ECG beats delineation with an evolutionary optimization process, IEEE Transactions on Biomedical Engineering, vol.57, issue.3, pp.607-615, 2010.
URL : https://hal.archives-ouvertes.fr/inserm-00361377

A. J. Camm, M. Malik, J. Bigger, G. Breithardt, S. Cerutti et al., Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, Circulation, vol.93, issue.5, pp.1043-1065, 1996.

F. Auger, P. Flandrin, P. Gonçalvès, and O. Lemoine, Time-Frequency Toolbox, 1996.

M. Orini, L. T. Mainardi, E. Gil, P. Laguna, and R. Bailón, Dynamic assessment of spontaneous baroreflex sensitivity by means of time-frequency analysis using either RR or pulse interval variability, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, pp.1630-1633, 2010.

F. Hlawatsch and G. F. Boudreaux-bartels, Linear and quadratic time-frequency signal representations. IEEE signal processing magazine, vol.9, pp.21-67, 1992.

A. H. Costa and G. Boudreau-bartels, Design of time-frequency representations using a multiform, tiltable exponential kernel, IEEE Transactions on Signal Processing, vol.43, issue.10, pp.2283-2301, 1995.

R. Bailón, P. Laguna, L. Mainardi, and L. Sornmo, Analysis of heart rate variability using time-varying frequency bands based on respiratory frequency, EMBS 2007. 29th Annual International Conference of the IEEE, pp.6674-6677, 2007.

G. B. Moody, R. G. Mark, M. A. Bump, J. S. Weinstein, A. D. Berman et al., Clinical validation of the ECG-derived respiration (EDR) technique, Computers in Cardiology. vol, vol.13, pp.507-510, 1986.

R. Bailón, L. Sornmo, and P. Laguna, A robust method for ECG-based estimation of the respiratory frequency during stress testing, IEEE transactions on biomedical engineering, vol.53, p.16830932, 2006.

S. Michael, K. S. Graham, and G. M. Davis, Cardiac Autonomic Responses during Exercise and Post-exercise Recovery Using Heart Rate Variability and Systolic Time Intervals-A Review, Frontiers in Physiology, vol.8, p.28611675, 2017.

H. He, Y. Bai, E. A. Garcia, and L. S. Adasyn, Adaptive synthetic sampling approach for imbalanced learning, 2008 IEEE International Joint Conference on Neural Networks, pp.1322-1328, 2008.

M. Robnik-s-?-ikonja and I. Kononenko, Theoretical and empirical analysis of ReliefF and RReliefF, Machine learning, vol.53, issue.1-2, pp.23-69, 2003.

I. Guyon and A. Elisseeff, An introduction to variable and feature selection, Journal of machine learning research, vol.3, pp.1157-1182, 2003.

R. Kohavi and G. H. John, Wrappers for feature subset selection, Artificial intelligence, vol.97, issue.1, pp.273-324, 1997.

L. I. Kuncheva, Brugada syndrome classification based on autonomic response to exercise testing, PLOS ONE, 2004.

J. H. Mitchell, Neural circulatory control during exercise: early insights, Experimental Physiology, vol.98, issue.4, p.23261851, 2013.

G. E. Billman, The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance, Frontiers in physiology, vol.4, p.23431279, 2013.

H. Kawazoe, Y. Nakano, H. Ochi, M. Takagi, Y. Hayashi et al., Risk stratification of ventricular fibrillation in Brugada syndrome using noninvasive scoring methods, Heart Rhythm, vol.13, issue.10, p.27424075, 2016.

D. Romero, M. Calvo, N. Béhar, P. Mabo, and A. Hernández, Ensemble classifier based on linear discriminant analysis for distinguishing Brugada syndrome patients according to symptomatology, Computing in Cardiology Conference (CinC), pp.205-208, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01578757