A. Mahdi, J. Sturdy, J. T. Ottesen, and M. S. Olufsen, Modeling the Afferent Dynamics of the Baroreflex Control System, PLoS Computational Biology, vol.12, issue.12, 2013.
DOI : 10.1371/journal.pcbi.1003384.t006

J. M. Nerbonne and R. S. Kass, Molecular Physiology of Cardiac Repolarization, Physiological Reviews, vol.85, issue.4, 2005.
DOI : 10.1152/physrev.00002.2005

R. Bellard, E. Fortrat, J. O. Vielle, B. Dupuis, J. M. Victor et al., Early predictive indexes of head-up tilt table testing outcomes utilizing heart rate and arterial pressure changes, The American Journal of Cardiology, vol.88, issue.8, pp.903-906, 2001.
DOI : 10.1016/S0002-9149(01)01904-X

D. G. Benditt, Syncope Management Guidelines at work: first steps towards assessing clinical utility, European Heart Journal, vol.27, issue.1, pp.7-9, 2006.
DOI : 10.1093/eurheartj/ehi626

D. G. Benditt, D. W. Ferguson, B. P. Grubb, W. N. Kapoor, J. Kugler et al., Tilt table testing for assessing syncope, Journal of the American College of Cardiology, vol.28, issue.1, pp.263-275, 1996.
DOI : 10.1016/0735-1097(96)00236-7

D. M. Bloomfield, R. Sheldon, B. P. Grubb, H. Calkins, and R. Sutton, Panel consensus, The American Journal of Cardiology, vol.84, issue.8, pp.33-39, 1999.
DOI : 10.1016/S0002-9149(99)00694-3

M. Brignole, P. Alboni, D. G. Benditt, L. Bergfeldt, J. Blanc et al., Guidelines on management (diagnosis and treatment) of syncope ? Update, The task force on Syncope, pp.2054-2072, 2004.

M. Brignole, C. Menozzi, A. Del-rosso, S. Costa, G. Gaggioli et al., New classification of haemodynamics of vasovagal syncope: beyond the VASIS classification Analysis of the pre-syncopal phase of the tilt test without and with nitroglycerin challenge, Vasovagal Syncope International Study. Eur. Eur. Pacing Arrhythm. Card. Electrophysiol. J. Work. Groups Card, 2000.
DOI : 10.1053/eupc.1999.0064

R. R. Castro, . De, E. T. Mesquita, A. C. Nobrega, and . Da, Parasympathetic-mediated atrial fibrillation during tilt test associated with increased baroreflex sensitivity, Europace, vol.8, issue.5, 2006.
DOI : 10.1093/europace/eul024

L. Y. Chen, D. G. Benditt, and W. Shen, Management of Syncope in Adults: An Update, Mayo Clinic Proceedings, vol.83, issue.11, pp.1280-1293, 2008.
DOI : 10.4065/83.11.1280

F. J. Gimeno-blanes, J. L. Rojo-Álvarez, A. J. Caamaño, J. A. Flores-yepes, and A. García-alberola, On the feasibility of tilt test outcome early prediction using ECG and pressure parameters, EURASIP Journal on Advances in Signal Processing, vol.2011, issue.1, pp.33-43, 2011.
DOI : 10.1046/j.1540-8167.2001.00033.x

J. Gert-van-dijk and R. S. , Is there any point to vasovagal syncope?, Clinical Autonomic Research, vol.31, issue.4, 2008.
DOI : 10.1007/s10286-008-0484-x

H. Kabat and J. Anderson, ACUTE ARREST OF CEREBRAL CIRCULATION IN MAN, Archives of Neurology & Psychiatry, vol.50, issue.5, pp.510-528, 1943.
DOI : 10.1001/archneurpsyc.1943.02290230022002

W. N. Kapoor, Evaluation of Syncope in the Elderly, Journal of the American Geriatrics Society, vol.7, issue.8, pp.826-828, 1987.
DOI : 10.1111/j.1532-5415.1987.tb06364.x

W. N. Kapoor, Evaluation and Outcome of Patients with Syncope, Medicine, vol.69, issue.3, pp.160-175, 1990.
DOI : 10.1097/00005792-199005000-00004

W. N. Kapoor, J. Peterson, and M. Karpf, Defecation syncope. A symptom with multiple etiologies, Archives of Internal Medicine, vol.146, issue.12, pp.2377-2379, 1986.
DOI : 10.1001/archinte.146.12.2377

W. N. Kapoor, J. R. Peterson, and M. Karpf, Micturition syncope. A reappraisal, JAMA: The Journal of the American Medical Association, vol.253, issue.6, pp.796-798, 1985.
DOI : 10.1001/jama.253.6.796

R. A. Kenny, A. Ingram, J. Bayliss, and R. Sutton, Head-up tilt: a useful test for investigating unexplained syncope, Lancet, vol.1, pp.1352-1355, 1986.

G. E. Kochiadakis, A. Orfanakis, S. I. Chryssostomakis, E. G. Manios, D. K. Kounali et al., Autonomic Nervous System Activity During Tilt Testing in Syncopal Patients, Estimated by Power Spectral Analysis of Heart Rate Variability, Pacing and Clinical Electrophysiology, vol.46, issue.5, 1997.
DOI : 10.1016/0002-9149(93)90713-M

N. Lippman, K. M. Stein, and B. B. Lerman, Failure to decrease parasympathetic tone during upright tilt predicts a positive tilt-table test, The American Journal of Cardiology, vol.75, issue.8, pp.591-595, 1995.
DOI : 10.1016/S0002-9149(99)80623-7

J. E. Liu, R. T. Hahn, K. M. Stein, S. M. Markowitz, P. M. Okin et al., Left Ventricular Geometry and Function Preceding Neurally Mediated Syncope, Circulation, vol.101, issue.7, pp.777-783, 2000.
DOI : 10.1161/01.CIR.101.7.777

Z. Mallat, E. Vicaut, A. Sangaré, J. Verschueren, G. Fontaine et al., Prediction of Head-Up Tilt Test Result by Analysis of Early Heart Rate Variations, Circulation, vol.96, issue.2, pp.581-584, 1997.
DOI : 10.1161/01.CIR.96.2.581

G. J. Martin, S. L. Adams, H. G. Martin, J. Mathews, D. Zull et al., Prospective evaluation of syncope, Annals of Emergency Medicine, vol.13, issue.7, pp.499-504, 1984.
DOI : 10.1016/S0196-0644(84)80511-9

M. R. Movahed and C. A. Hassapoyannes, Prediction of non-occurrence of syncope during a tilt-table test by early heart rate variations, J. S. C. Med. Assoc, vol.97, pp.207-210, 1975.

R. Mosqueda-garcia, R. Furlan, J. Tank, and R. Fernandez-violante, The Elusive Pathophysiology of Neurally Mediated Syncope, Circulation, vol.102, issue.23, pp.2898-2906, 2000.
DOI : 10.1161/01.CIR.102.23.2898

A. Moya, Guidelines for the diagnosis and management of syncope (version 2009) The Task Force for the Diagnosis and Management of Syncope of the European Society of Cardiology (ESC), Eur. Heart J, vol.30, pp.2631-2671, 2009.

M. Pitzalis, F. Massari, P. Guida, M. Iacoviello, F. Mastropasqua et al., Shortened Head-Up Tilting Test Guided by Systolic Pressure Reductions in Neurocardiogenic Syncope, Circulation, vol.105, issue.2, pp.146-148, 2002.
DOI : 10.1161/hc0202.102982

S. W. Parry and M. P. Tan, An approach to the evaluation and management of syncope in adults, BMJ, vol.340, issue.feb19 1, p.880, 2010.
DOI : 10.1136/bmj.c880

D. D. Savage, L. Corwin, D. L. Mcgee, W. B. Kannel, and P. A. Wolf, Epidemiologic features of isolated syncope: the Framingham Study, Stroke, vol.16, issue.4, pp.626-629, 1985.
DOI : 10.1161/01.STR.16.4.626

D. Schang, M. Feuilloy, G. Plantier, J. Fortrat, and P. Nicolas, Early prediction of unexplained syncope by support vector machines, Physiological Measurement, vol.28, issue.2, pp.185-195, 2007.
DOI : 10.1088/0967-3334/28/2/007
URL : https://hal.archives-ouvertes.fr/hal-01166462

R. Sheldon and S. Killam, Methodology of isoproterenol-tilt table testing in patients with syncope, Journal of the American College of Cardiology, vol.19, issue.4, pp.773-779, 1992.
DOI : 10.1016/0735-1097(92)90517-Q

R. S. Sheldon, A. G. Sheldon, S. J. Connolly, C. A. Morillo, T. Klingenheben et al., Age of First Faint in Patients with Vasovagal Syncope, Journal of Cardiovascular Electrophysiology, vol.18, issue.1, pp.49-54, 2006.
DOI : 10.1016/S0002-9149(97)00425-6

A. A. Smit, J. R. Halliwill, P. A. Low, and W. Wieling, Pathophysiological basis of orthostatic hypotension in autonomic failure, The Journal of Physiology, vol.296, issue.suppl., pp.1-10, 1999.
DOI : 10.1111/j.1469-7793.1999.0001o.x

E. S. Soteriades, J. C. Evans, M. G. Larson, M. H. Chen, L. Chen et al., Incidence and Prognosis of Syncope, New England Journal of Medicine, vol.347, issue.12, pp.878-885, 2002.
DOI : 10.1056/NEJMoa012407

J. M. Stewart, M. Erb, and C. Sorbera, Heart Rate Variability and the Outcome of Head-Up Tilt in Syncopal Children, Pediatric Research, vol.32, issue.5, pp.702-709, 1996.
DOI : 10.1203/00006450-199611000-00009

M. Sumiyoshi, Y. Nakata, Y. Mineda, T. Tokano, M. Yasuda et al., Does an Early Increase in Heart Rate During Tilting Predict the Results of Passive Tilt Testing?, Pacing and Clinical Electrophysiology, vol.6, issue.12, pp.2046-2051, 2000.
DOI : 10.1001/archinte.149.12.2709

R. Sutton, M. Petersen, M. Brignole, A. Raviele, C. Menozzi et al., Early predictive indexes of head-up tilt table testing outcomes utilizing heart rate and arterial pressure changes, Proposed classification for tilt induced vasovagal syncBellard, 1992.

M. Suzuki, S. Hori, I. Nakamura, S. Nagata, Y. Tomita et al., Role of Vagal Control in Vasovagal Syncope, Pacing and Clinical Electrophysiology, vol.14, issue.2p1, pp.571-578, 2003.
DOI : 10.1016/S0140-6736(86)91665-X

S. H. Tea, J. Mansourati, G. L-'heveder, D. Mabin, and J. J. Blanc, New insights into the pathophysiology of carotid sinus syndrome, Circulation, vol.93, pp.1411-1416, 1996.

U. Turk, E. Alioglu, B. Kirilmaz, H. Duygu, N. Tuzun et al., Prediction of Head-Up Tilt Test Result: Is it Possible?, Pacing and Clinical Electrophysiology, vol.16, issue.2, 2010.
DOI : 10.1111/j.1540-8159.2009.02605.x

N. Virag, R. Sutton, R. Vetter, T. Markowitz, and M. Erickson, Prediction of vasovagal syncope from heart rate and blood pressure trend and variability: Experience in 1,155 patients, Heart Rhythm, vol.4, issue.11, pp.1375-1382, 2007.
DOI : 10.1016/j.hrthm.2007.07.018

R. Björck and Å. , Numerics of Gram-Schmidt orthogonalization. Linear Algebra Its Appl, pp.297-316, 1994.

M. Brignole, Diagnosis and treatment of syncope, Heart, vol.93, issue.1, pp.130-136, 2007.
DOI : 10.1136/hrt.2005.080713

K. Charlot, J. Cornolo, J. V. Brugniaux, J. P. Richalet, and A. Pichon, Interchangeability between heart rate and photoplethysmography variabilities during sympathetic stimulations, Physiological Measurement, vol.30, issue.12, pp.1357-1369, 2009.
DOI : 10.1088/0967-3334/30/12/005

P. A. Devyver and J. Kittler, Pattern Recognition: A Statistical Approach, 1946.

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.
DOI : 10.1109/TBME.2008.2002157
URL : https://hal.archives-ouvertes.fr/inserm-00361377

E. Gil, R. Bailon, J. M. Vergara, and P. Laguna, PTT Variability for Discrimination of Sleep Apnea Related Decreases in the Amplitude Fluctuations of PPG Signal in Children, IEEE Transactions on Biomedical Engineering, vol.57, issue.5, pp.1079-1088, 2010.
DOI : 10.1109/TBME.2009.2037734

G. K. Karapetian, H. J. Engels, K. A. Gretebeck, and R. J. Gretebeck, Effect of Caffeine on LT, VT and HRVT, International Journal of Sports Medicine, vol.33, issue.07, pp.507-513, 2012.
DOI : 10.1055/s-0032-1301904

K. Kira and L. A. , The Feature Selection Problem: Traditional Methods and a New Algorithm, pp.129-134, 1992.

I. Kononenko, Estimating attributes: Analysis and extensions of RELIEF, pp.171-182, 1994.
DOI : 10.1007/3-540-57868-4_57

G. Lu, F. Yang, J. A. Taylor, and J. F. Stein, A comparison of photoplethysmography and ECG recording to analyse heart rate variability in healthy subjects, J. Med, 2009.

W. Martin, E. Camenzind, and P. Burkhard, ECG artifact due to deep brain stimulation. The Lancet 361, 1431, pp.10-1016, 2003.

J. P. Martínez, R. Almeida, S. Olmos, A. P. Rocha, and P. Laguna, A Wavelet-Based ECG Delineator: Evaluation on Standard Databases, IEEE Transactions on Biomedical Engineering, vol.51, issue.4, pp.570-581821031, 2003.
DOI : 10.1109/TBME.2003.821031

J. Pan and W. J. Tompkins, A Real-Time QRS Detection Algorithm, IEEE Transactions on Biomedical Engineering, vol.32, issue.3, 1985.
DOI : 10.1109/TBME.1985.325532

P. Pudil, F. J. Ferri, J. Novovicova, and J. Kittler, Floating search methods for feature selection with nonmonotonic criterion functions, Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), pp.279-283, 1994.
DOI : 10.1109/ICPR.1994.576920
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.7960

T. Saravanan, A Detailed Introduction to K-Nearest Neighbor (KNN) Algorithm

J. Shawe-taylor and N. Cristianini, Kernel Methods for Pattern Analysis, 2004.
DOI : 10.1017/CBO9780511809682

H. Stoppiglia, G. Dreyfus, R. Dubois, and Y. Oussar, Ranking a Random Feature for Variable and Feature Selection, J Mach Learn Res, vol.3, pp.1399-1414, 2003.

R. Sutton, M. Petersen, M. Brignole, A. Raviele, and C. Menozzi, Proposed classification for tilt induced vasovagal syncope, Eur J Cardiac Pacing Electrophysiol, vol.2, pp.180-183, 1992.

J. Richman and J. Moorman, Physiological time-series analysis using approximate entropy and sample entropy Am, J. Physiol. Heart Circ. Physiol, pp.278-2039, 2000.

D. Schang, M. Feuilloy, G. Plantier, J. Fortrat, and N. P. , Early prediction of unexplained syncope by support vector machines, Physiological Measurement, vol.28, issue.2, pp.10-1088, 2007.
DOI : 10.1088/0967-3334/28/2/007
URL : https://hal.archives-ouvertes.fr/hal-01166462

G. Bertinieri, M. Di-rienzo, A. Cavallazzi, A. U. Ferrari, A. Pedotti et al., A new approach to analysis of the arterial baroreflex, J. Hypertens, 1985.

J. Deharo, C. Jego, A. Lanteaume, and P. Djiane, An Implantable Loop Recorder Study of Highly Symptomatic Vasovagal Patients, Journal of the American College of Cardiology, vol.47, issue.3, 2006.
DOI : 10.1016/j.jacc.2005.09.043

S. Gouveia, A. Rocha, P. Van-de-borne, and P. Lago, Assessing baroreflex sensitivity in the sequences technique: local versus global approach, Computers in Cardiology, 2005, pp.279-282, 2005.
DOI : 10.1109/CIC.2005.1588091

M. R. Movahed and C. A. Hassapoyannes, Prediction of non-occurrence of syncope during a tilt-table test by early heart rate variations, J. S. C. Med. Assoc, vol.97, pp.207-210, 1975.

K. Ansari-asl, J. Bellanger, F. Bartolomei, F. Wendling, and L. Senhadji, Time-Frequency Characterization of Interdependencies in Nonstationary Signals: Application to Epileptic EEG, IEEE Transactions on Biomedical Engineering, vol.52, issue.7, pp.1218-1226, 2005.
DOI : 10.1109/TBME.2005.847541
URL : https://hal.archives-ouvertes.fr/inserm-00130426

E. Bellard, J. Fortrat, B. Vielle, J. Dupuis, J. Victor et al., Early predictive indexes of head-up tilt table testing outcomes utilizing heart rate and arterial pressure changes, The American Journal of Cardiology, vol.88, issue.8, pp.903-906, 2001.
DOI : 10.1016/S0002-9149(01)01904-X

G. Carrault, A. Beuchee, P. Pladys, L. Senhadji, and A. Hernandez, Time-frequency relationships between heart rate and respiration: A diagnosis tool for late onset sepsis in sick premature infants, Computers in Cardiology, pp.369-372, 2009.
URL : https://hal.archives-ouvertes.fr/inserm-00529034

D. Hayoz, G. Noll, C. Passino, R. Weber, R. Wenzel et al., Progressive Withdrawal of Muscle Nerve Sympathetic Activity Preceding Vaso-Vagal Syncope during Lower-Body Negative Pressure, Clinical Science, vol.91, issue.s1, pp.91-50, 1979.
DOI : 10.1042/cs0910050supp

S. Huffel and . Van, Recent Advances in Total Least Squares Techniques and Errors-invariables Modeling, 1997.

N. Khodor, D. Matelot, G. Carrault, H. Amoud, M. Khalil et al., 2014. kernel based support vector machine for the early detection of syncope during head-up tilt test, Physiol. Meas

C. Kouakam, D. Lacroix, N. Zghal, R. Logier, D. Klug et al., Inadequate sympathovagal balance in response to orthostatism in patients with unexplained syncope and a positive head up tilt test, Heart, vol.82, issue.3, pp.312-318, 1999.
DOI : 10.1136/hrt.82.3.312

L. T. Mainardi, A. M. Bianchi, and S. Cerutti, Time-frequency and time-varying analysis for assessing the dynamic responses of cardiovascular control, Crit. Rev, 2002.

G. Matz and F. Hlawatsch, Time-frequency coherence analysis of nonstationary random processes, Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496), pp.554-558, 2000.
DOI : 10.1109/SSAP.2000.870186

M. R. Movahed and C. A. Hassapoyannes, Prediction of non-occurrence of syncope during a tilt-table test by early heart rate variations, J. S. C. Med. Assoc, vol.97, pp.207-210, 1975.

M. Orini, R. Bailon, L. T. Mainardi, P. Laguna, and P. Flandrin, Characterization of Dynamic Interactions Between Cardiovascular Signals by Time-Frequency Coherence, IEEE Transactions on Biomedical Engineering, vol.59, issue.3, pp.663-673, 2012.
DOI : 10.1109/TBME.2011.2171959

M. Orini, P. Laguna, L. T. Mainardi, and R. Bailón, Assessment of the dynamic interactions between heart rate and arterial pressure by the cross time???frequency analysis, Physiological Measurement, vol.33, issue.3, pp.315-331, 2012.
DOI : 10.1088/0967-3334/33/3/315

E. Pruvot, J. M. Vesin, J. Schlaepfer, M. Fromer, and L. Kappenberger, Autonomic Imbalance Assessed by Heart Rate Variability Analysis in Vasovagal Syncope, Pacing and Clinical Electrophysiology, vol.59, issue.11, pp.2201-2206, 1994.
DOI : 10.1016/0002-9149(92)90788-Z

R. Sutton, M. Brignole, and D. G. Benditt, Key challenges in the current management of syncope, Nature Reviews Cardiology, vol.125, issue.10, pp.590-598, 2012.
DOI : 10.1038/nrcardio.2012.102

H. L. Thomson, K. Wright, and M. Frenneaux, Baroreflex Sensitivity in Patients With Vasovagal Syncope, Circulation, vol.95, issue.2, 1997.
DOI : 10.1161/01.CIR.95.2.395

R. A. Voice, K. G. Lurie, S. Sakaguchi, T. S. Rector, and D. G. Benditt, Comparison of Tilt Angles and Provocative Agents (Edrophonium and Isoproterenol) to Improve Head-Upright Tilt-Table Testing, The American Journal of Cardiology, vol.81, issue.3, pp.346-351, 1998.
DOI : 10.1016/S0002-9149(97)00915-6

L. B. White and B. Boashash, Cross spectral analysis of nonstationary processes, IEEE Transactions on Information Theory, vol.36, issue.4, pp.830-835, 1990.
DOI : 10.1109/18.53742

R. Abarbanel and H. , Analysis of Observed Chaotic Data, 1997.

M. Altuve, Détection multivariée des épisodes d'apnée-bradycardie chez le prématuré par modèles semi-Markovien cachés, 2011.

J. H. Argyris, G. Faust, and M. Haase, An Exploration of Chaos: An Introduction for Natural Scientists and Engineers, 1994.

T. Buzug and G. Pfister, Comparison of algorithms calculating optimal embedding parameters for delay time coordinates, Physica D: Nonlinear Phenomena, vol.58, issue.1-4, pp.127-137, 1992.
DOI : 10.1016/0167-2789(92)90104-U

M. J. Cassidy and W. D. Penny, Bayesian nonstationary autoregressive models for biomedical signal analysis, IEEE Transactions on Biomedical Engineering, vol.49, issue.10, pp.1142-1152, 2002.
DOI : 10.1109/TBME.2002.803511

C. J. Cellucci, A. M. Albano, and P. E. Rapp, Comparative study of embedding methods, Physical Review E, vol.67, issue.6, 2003.
DOI : 10.1103/PhysRevE.67.066210

M. Chen, A. Kundu, and J. Zhou, Off-line handwritten word recognition using a hidden Markov model type stochastic network, IEEE Trans. Pattern Anal, 1994.

J. Eckmann, S. O. Kamphorst, and D. Ruelle, Recurrence Plots of Dynamical Systems, EPL Europhys. Lett, vol.449, issue.973, 1987.

Y. Ephraim and N. Merhav, Hidden Markov processes, IEEE Transactions on Information Theory, vol.48, issue.6, 2002.
DOI : 10.1109/TIT.2002.1003838

J. D. Ferguson, Variable duration models for speech, Proc. Symposium on the application of hidden Markov models to text and speech, pp.143-179, 1980.

S. Faisan, L. Thoraval, J. Armspach, M. Metz-lutz, and F. Heitz, Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models, IEEE Transactions on Medical Imaging, vol.24, issue.2, pp.263-276, 2005.
DOI : 10.1109/TMI.2004.841225

J. Forney and G. D. , The viterbi algorithm, Proc. IEEE 61, pp.268-278, 1973.
DOI : 10.1109/PROC.1973.9030

A. M. Fraser and H. L. Swinney, Independent coordinates for strange attractors from mutual information, Physical Review A, vol.33, issue.2, 1986.
DOI : 10.1103/PhysRevA.33.1134

K. Gordon and A. F. Smith, Modeling and Monitoring Biomedical Times Series, J, 1990.
DOI : 10.2307/2289768

A. I. Hernandez, G. Carrault, F. Mora, L. Thoraval, G. Passariello et al., Multisensor fusion for atrial and ventricular activity detection in coronary care monitoring, IEEE Transactions on Biomedical Engineering, vol.46, issue.10, pp.1186-1190, 1999.
DOI : 10.1109/10.790494
URL : https://hal.archives-ouvertes.fr/inserm-00134401

J. Connor and L. E. , Recurrent Networks and NARMA Modeling, pp.301-308, 1991.

M. B. Kennel, R. Brown, and H. D. Abarbanel, Determining embedding dimension for phase-space reconstruction using a geometrical construction, Physical Review A, vol.45, issue.6, pp.3403-3411, 1992.
DOI : 10.1103/PhysRevA.45.3403

A. Kraskov, H. Stögbauer, and P. Grassberger, Estimating mutual information, Physical Review E, vol.69, issue.6, 2004.
DOI : 10.1103/PhysRevE.69.066138

V. G. Kulkarni, Modeling and Analysis of Stochastic Systems, 1996.

A. Kumar and S. K. Mullick, Nonlinear dynamical analysis of speech, The Journal of the Acoustical Society of America, vol.100, issue.1, 1996.
DOI : 10.1121/1.415886

S. E. Levinson, Continuously variable duration hidden Markov models for automatic speech recognition, Computer Speech & Language, vol.1, issue.1, pp.29-4510, 1986.
DOI : 10.1016/S0885-2308(86)80009-2

I. L. Macdonald and W. Zucchini, Hidden Markov and Other Models for Discretevalued Time Series, 1997.

N. Marwan, C. Romano, M. Thiel, M. Kurths, and J. , Recurrence plots for the analysis of complex systems, Physics Reports, vol.438, issue.5-6, pp.237-329, 2007.
DOI : 10.1016/j.physrep.2006.11.001

C. D. Mitchell and L. H. Jamieson, Modeling duration in a hidden Markov model with the exponential family, IEEE International Conference on Acoustics Speech and Signal Processing, 1993.
DOI : 10.1109/ICASSP.1993.319304

A. T. Monk and A. H. Compton, Recurrence phenomena in cosmic-ray intensity, Reviews of Modern Physics, vol.11, issue.3-4, 1939.
DOI : 10.1103/RevModPhys.11.173

S. Munshaw and T. B. Kepler, SoDA2: a Hidden Markov Model approach for identification of immunoglobulin rearrangements, Bioinformatics, vol.26, issue.7, pp.867-872, 2010.
DOI : 10.1093/bioinformatics/btq056

E. Ott, Chaos in Dynamical Systems, 2002.

A. Petry and D. A. Barone, Speaker identification using nonlinear dynamical features, Chaos, Solitons & Fractals, vol.13, issue.2, pp.221-23110, 2002.
DOI : 10.1016/S0960-0779(00)00260-5

L. R. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition, PROCEEDINGS OF THE IEEE, pp.257-286, 1989.

R. Durbin and S. R. , Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids, pp.10-1017, 1998.
DOI : 10.1017/CBO9780511790492

R. Barbera and G. L. , Grid Computing Technology and the Recurrence Quantification Analysis to Predict Seizure Occurrence in Patients Affected by Drug-Resistant Epilepsy. Data Driven E-Sci, pp.978-979, 2011.

F. M. Roberts, R. J. Povinelli, and K. M. Ropella, Identification of ECG Arrhythmias Using Phase Space Reconstruction, Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD '01, 2001.
DOI : 10.1007/3-540-44794-6_34

G. Schwarz, Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978.
DOI : 10.1214/aos/1176344136

N. Srinivasan, M. T. Wong, and S. M. Krishnan, A new phase space analysis algorithm for cardiac arrhythmia detection, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), pp.82-8510, 2003.
DOI : 10.1109/IEMBS.2003.1279515

F. Takens, Detecting strange attractors in turbulence, 1981.
DOI : 10.1007/BF01646553

X. Tang, Hybrid Hidden Markov Model and Artificial Neural Network for Automatic Speech Recognition, 2009 Pacific-Asia Conference on Circuits, Communications and Systems, pp.682-685, 2009.
DOI : 10.1109/PACCS.2009.138

C. Vásquez, A. Hernández, F. Mora, G. Carrault, and G. Passariello, Atrial activity enhancement by Wiener filtering using an artificial neural network, IEEE Transactions on Biomedical Engineering, vol.48, issue.8, 2001.
DOI : 10.1109/10.936371

A. Waibel, T. Hanazawa, G. Hinton, K. Shikano, and K. J. Lang, Phoneme recognition using time-delay neural networks, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.37, issue.3, pp.328-339, 1989.
DOI : 10.1109/29.21701

J. Yamagishi, K. Ogata, Y. Nakano, J. Isogai, and T. Kobayashi, HSMM-Based Model Adaptation Algorithms for Average-Voice-Based Speech Synthesis, 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006.
DOI : 10.1109/ICASSP.2006.1659961

J. Yamato, J. Ohya, and K. Ishii, Recognizing human action in time-sequential images using hidden Markov model, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.379-385, 1992.
DOI : 10.1109/CVPR.1992.223161

S. Yu, Hidden semi-Markov models, Artificial Intelligence, vol.174, issue.2, pp.215-243, 2010.
DOI : 10.1016/j.artint.2009.11.011

Z. Chair and P. K. , Optimal Data Fusion in Multiple Sensor Detection Systems, IEEE Transactions on Aerospace and Electronic Systems, vol.22, issue.1, 1986.
DOI : 10.1109/TAES.1986.310699

. Aerosp, . Electron, . Syst, and . Trans, On 98 ? 101. doi:10.1109/TAES.1986.310699 Publications in international journals

K. , F. Carre, and A. Hernandez, Kernel based support vector machine for the early detection of syncope during head up tilt tests, Physiological Measurement Journal. (Published)

K. , F. Carre, and A. Hernandez, Characterization of the dynamic interaction between cardiac signals using two different approaches for the early detection of syncope during head up tit test. Digital signal processing journal (submitted article) Publications in international conferences

. Hernandez, Evaluation of T-wave morphology parameters in drug-induced repolarization abnormalities, nd International Conference on Advances in Biomedical Engineering (ICAMBE), pp.11-13, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00881382

. Hernandez, New T-wave parameters describing repolarization abnormalities induced by drug, IEEE sponsor, pp.17-20, 2014.

K. , F. Carre, and A. Hernandez, A new phase space analysis algorithm for the early detection of syncope during head up tilt tests, Computing in Cardiology Conference (CinC14) List of figures, 2014.

. Brignole, Another classification of reflex syncope based on, p.23, 2000.