S. Osowski and T. H. Linh, ECG beat recognition using fuzzy hybrid neural network, IEEE Transactions on Biomedical Engineering, vol.48, issue.11, pp.1265-1271, 2001.
DOI : 10.1109/10.959322

S. Osowski, T. Markiewicz, and L. T. Hoai, Recognition and classification system of arrhythmia using ensemble of neural networks, Measurement, vol.41, issue.6, pp.610-617, 2008.
DOI : 10.1016/j.measurement.2007.07.006

L. Shyu and W. Hu, Intelligent Hybrid Methods for ECG Classification-A Review, Journal of Medical and Biological Engineering, vol.28, issue.1, pp.1-10, 2007.

J. Malmivuo and R. Plonsey, Bioelectromagnetism -Principles and Applications of Bioelectric and Biomagnetic Fields, 1995.

A. Welinder, L. Sörnmo, D. Q. Feild, C. L. Feldman, J. Pettersson et al., Comparison of signal quality between easi and mason-likar 12-lead electrocardiograms during physical activity, American journal of critical care, vol.13, issue.3, 2004.

B. U. Kohler, C. Hennig, and R. Orglmeister, The principles of software QRS detection, IEEE Engineering in Medicine and Biology Magazine, vol.21, issue.1, pp.42-57, 2002.
DOI : 10.1109/51.993193

R. Acharya, A. Kumar, P. Bhat, C. Lim, S. Lyengar et al., Classification of cardiac abnormalities using heart rate signals, Medical & Biological Engineering & Computing, vol.123, issue.3, pp.288-293, 2004.
DOI : 10.1007/BF02344702

K. Minami, H. Nakajima, and T. Toyoshima, Real-time discrimination of ventricular tachyarrhythmia with Fourier-transform neural network, IEEE Transactions on Biomedical Engineering, vol.46, issue.2, pp.179-185, 1999.
DOI : 10.1109/10.740880

G. K. Prasad and J. S. Sahambi, Classification of ECG arrhythmias using multiresolution analysis and neural networks, IEEE Conf. on Convergent Technologies, pp.227-231, 2003.

P. C. Ivanov, Q. D. Ma, R. P. Bartsch, J. M. Hausdorff, L. A. Amaral et al., Levels of complexity in scale-invariant neural signals, Physical Review E, vol.79, issue.4, pp.41920-041932, 2009.
DOI : 10.1103/PhysRevE.79.041920

L. Senhadji, G. Carrault, J. J. Bellanger, and G. Passariello, Comparing wavelet transforms for recognizing cardiac patterns, IEEE Engineering in Medicine and Biology Magazine, vol.14, issue.2, pp.167-173, 1995.
DOI : 10.1109/51.376755

URL : https://hal.archives-ouvertes.fr/inserm-00152896

Y. H. Hu, S. Palreddy, and W. J. Tompkins, A Patient-adaptable ECG beat classifier using a mixture of experts approach, IEEE T. Bio-Med. Eng, vol.44, pp.891-900, 1997.

P. , D. Chazal, and R. B. Reilly, Automatic classification of ECG beats using waveform shape and heart beat interval features, Int. Conf. Acoust. Spee, vol.2, pp.269-272, 2003.

Y. Özbay, R. Ceylan, and B. Karlik, A fuzzy clustering neural network architecture for classification of ECG arrhythmias, Computers in Biology and Medicine, vol.36, issue.4, pp.376-388, 2006.
DOI : 10.1016/j.compbiomed.2005.01.006

S. Yu and K. Chou, A switchable scheme for ECG beat classification based on independent component analysis, Expert Systems with Applications, vol.33, issue.4, pp.824-829, 2007.
DOI : 10.1016/j.eswa.2006.07.002

M. Engin, ECG beat classification using neuro-fuzzy network, Pattern Recognition Letters, vol.25, issue.15, pp.1715-1722, 2004.
DOI : 10.1016/j.patrec.2004.06.014

A. Khoureich and K. , ECG beat classification using waveform similarity and RR intervals, Journal of Medical and Biological Engineering, 2011.

F. G. Yanowitz, The Alan E. Lindsay ECG tutorial V6, 2007.

M. Arialdi, M. P. Miniño, S. L. Heron, K. D. Murphy, and . Kochanek, Deaths: Final Data for, National Vital Statistics Reports, vol.55, issue.19, 2004.

L. and J. Haywood, Left Bundle Branch Block in Acute Myocardial Infarction, Journal of the American College of Cardiology, vol.46, issue.1, 2005.
DOI : 10.1016/j.jacc.2005.04.002

M. Gertsch, The ECG Manual: An Evidence-Based Approach, 2009.

M. Sami, . Kraemer, . Harrison, C. Houston, R. Shimasaki et al., A new method for evaluating antiarrhythmic drug efficacy, Circulation, vol.62, issue.6, pp.1172-1179, 1980.
DOI : 10.1161/01.CIR.62.6.1172

R. J. Harper, W. J. Brady, A. D. Perron, and M. Mangrum, The paced electrocardiogram: Issues for the emergency physician, The American Journal of Emergency Medicine, vol.19, issue.7, 2001.
DOI : 10.1053/ajem.2001.24486

S. Thanigaraj and R. E. Kleiger, Morphology of right ventricular paced beats in posterior myocardial infarction " , Southern medical journal, pp.3-323, 2000.

G. Bachman, L. Narici, and E. Beckenstein, Fourier and wavelet analysis, 2000.
DOI : 10.1007/978-1-4612-0505-0

. Shannon, Communication in the Presence of Noise, Proceedings of the IRE, vol.37, issue.1, pp.10-21, 1949.
DOI : 10.1109/JRPROC.1949.232969

K. Vladimir-aleksandrovich, On the transmission capacity of the 'ether " and of cables in electrical communications In Proceedings of the first all-Union conference on the technological reconstruction of the commu-nications sector and the development of low-current engineering, 1933.

G. Fang, . Whittaker-kotelnikov-shannon-sampling, . Theorem, . J. Aliasing-error, and . Approx, Theory [ stat/sampling Available from, pp.115-131, 1996.

E. T. Palle and . Jorgensen, Analysis and probability: wavelets, signals, fractals, Graduate Texts in Mathematics, vol.234, 2006.

A. Haar, . Zur-theorie-der-orthogonalen-funktionensysteme, . Math, and . Ann, Available from, pp.331-371, 1910.

. Math and . Ann, Available from, pp.38-53, 1911.

A. Haar, Über asymptotische Entwicklungen von Funktionen

Y. Meyer, Ondelettes et opérateurs. I. Actualités Mathématiques. [Current Mathematical Topics, 1990.

I. Daubechies, Ten lectures on wavelets, CBMS-NSF Regional Conference Series in Applied Mathematics. Society for Industrial and Applied Mathematics (SIAM), vol.61, 1992.

I. Daubechies, A. Grossmann, and Y. Meyer, Painless nonorthogonal expansions, Journal of Mathematical Physics, vol.27, issue.5, pp.1271-1283, 1986.
DOI : 10.1063/1.527388

N. E. Miner, An Introduction to Wavelet Theory and Analysis, ) Sandia National Laboratories P. 0. Box 5800 Albuquerque, pp.87185-1008, 1998.
DOI : 10.2172/1896

S. Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.7, pp.674-693, 1989.
DOI : 10.1109/34.192463

S. Mallat, Multiresolution approximations and wavelet orthonormal bases of ? 2 (R) " , Transaction of the american mathematical society, 1989.

T. Sierocinski, Méthodes probabilistes, floues et quantiques pour l'extraction de l'information biologique, 2008.

J. Tan, L. Kok-seng-chua, S. Zhang, and . Zhu, Algorithmic and Complexity Issues of Three Clustering Methods in Microarray Data Analysis, Algorithmica, vol.48, issue.2, pp.203-219, 2007.
DOI : 10.1007/s00453-007-0040-4

A. Roger, C. R. Horn, and . Johnson, Topics in matrix analysis, 1994.

A. H. Kadish, ACC/AHA clinical competence statement on electrocardiography and ambulatory electrocardiography, J. Am. Coll. Cardiol, vol.104, pp.3169-3178, 2001.

P. Kligfield, L. S. Gettes, J. J. Bailey, R. Childers, B. J. Deal et al., Recommendations for the Standardization and Interpretation of the Electrocardiogram. Part I: The Electrocardiogram and Its Technology. A Scientific Statement From the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society. Endorsed by the International Society for Computerized Electrocardiology, Endorsed by the International Society for Computerized Electrocardiology, pp.394-412, 2007.
DOI : 10.1161/CIRCULATIONAHA.106.180200

I. I. Christov, Real time electrocardiogram QRS detection using combined adaptive threshold, BioMedical Engineering, vol.3, pp.28-38, 2004.

H. Hotelling, New light on the correlation coefficient and its transforms, J. Roy. Statist. Soc. Ser. B, vol.15, pp.193-225, 1953.

M. G. Kendall and A. Stuart, The advanced theory of statistics

W. Härdle and L. Simar, Applied multivariate statistical analysis, 2007.

K. Karhunen, Zur Spektraltheorie stochastischer Prozesse, Ann. Acad. Sci. Fennicae. Ser. A. I. Math.-Phys, issue.34, p.7, 1946.

M. Loève, Fonctions aléatoires à décomposition orthogonale exponentielle, Revue Sci, vol.84, pp.159-162, 1946.

N. Dunford, J. T. Schwartz-william, G. Bade, and R. G. Bartle, Linear operators. Part I. Wiley Classics Library General theory, 1988.

N. V. Thakor and Y. S. Zhu, Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection, IEEE Transactions on Biomedical Engineering, vol.38, issue.8, pp.785-794, 1991.
DOI : 10.1109/10.83591

E. R. Ferrara and B. Widrow, The time-sequenced adaptive filter, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.29, issue.3, pp.679-683, 1981.
DOI : 10.1109/TASSP.1981.1163597

V. Almenar and A. , A new adaptive scheme for ECG enhancement, Signal Processing, vol.75, issue.3, pp.253-263, 1999.
DOI : 10.1016/S0165-1684(98)00237-0

H. Sadabadia, M. Ghasemia, and A. Ghaffaria, A mathematical algorithm for ecg signal denoising using window analysis, Biomedical Papers, vol.151, issue.1, pp.73-78, 2007.
DOI : 10.5507/bp.2007.013

M. Alfaouri and K. Daqrouq, ECG Signal Denoising By Wavelet Transform Thresholding, American Journal of Applied Sciences, vol.5, issue.3, pp.276-281, 2008.
DOI : 10.3844/ajassp.2008.276.281

URL : http://doi.org/10.3844/ajassp.2008.276.281

B. N. Singh-a and A. K. Tiwari, Optimal selection of wavelet basis function applied to ECG signal denoising, Digital Signal Processing, vol.16, issue.3, pp.275-287, 2006.
DOI : 10.1016/j.dsp.2005.12.003

H. G. Rodney-tan, K. M. Lum, and V. H. Mok, Performance Evaluation of Coifman Wavelet for ECG Signal Denoising, IFMBE Proceedings, vol.15, pp.419-422, 2007.
DOI : 10.1007/978-3-540-68017-8_106

M. Kania, M. Fereniec, and R. Maniewski, Wavelet Denoising for Multi-lead High Resolution ECG Signals, Measurement Science Review, vol.7, issue.2 4, 2007.

J. A. Van-alste, W. Van-eck, and O. E. Herrmann, ECG baseline wander reduction using linear phase filters, Computers and Biomedical Research, vol.19, issue.5, pp.417-427, 1986.
DOI : 10.1016/0010-4809(86)90037-6

P. Laguna, R. Jane, and P. , Adaptive filtering of ECG baseline wander, Proceedings of International Conference of the IEEE Engineering in Medical and Biol Medical Society, pp.508-509, 1992.

A. Khawaja, Thesis Automatic ECG Analysis using Principal Component Analysis and Wavelet Transformation, Karlsruhe Transactions on Biomedical Engeneering, vol.3, 2007.

D. Donoho and I. Johnstone, Adapting to Unknown Smoothness via Wavelet Shrinkage, Journal of the American Statistical Association, vol.31, issue.432, pp.1200-1223, 1995.
DOI : 10.1080/01621459.1979.10481038

G. Friesen, T. Jannett, M. Jadallah, S. Yates, S. Quint et al., A comparison of the noise sensitivity of nine QRS detection algorithms, IEEE Transactions on Biomedical Engineering, vol.37, issue.1, pp.85-98, 1990.
DOI : 10.1109/10.43620

R. Poli, S. Cagnoni, and G. Valli, Genetic design of optimum linear and nonlinear QRS detectors, IEEE Transactions on Biomedical Engineering, vol.42, issue.11, pp.1137-1141, 1995.
DOI : 10.1109/10.469381

V. X. Afonso, W. J. Tompkins, T. Q. Nguyen, and S. Luo, ECG beat detection using filter banks, IEEE Transactions on Biomedical Engineering, vol.46, issue.2, pp.192-202, 1999.
DOI : 10.1109/10.740882

I. Dotsinsky and T. Stoyanov, Ventricular beat detection in single channel electrocardiograms, BioMedical Engineering OnLine, vol.3, issue.1, p.3, 2004.
DOI : 10.1186/1475-925X-3-3

J. Moreas, M. Seixas, F. Vilani, and E. Costa, A QRS complex detection algorithm using electrocardiogram leads, Computers in Cardiology, pp.205-208, 2002.
DOI : 10.1109/CIC.2002.1166743

W. Englese and C. Zeelenberg, A single scan algorithm for QRS detection and feature extraction, IEEE Comp in Card, pp.37-42, 1979.

A. Ligtenberg and M. Kunt, A robust-digital QRS-detection algorithm for arrhythmia monitoring, Computers and Biomedical Research, vol.16, issue.3, pp.273-286, 1983.
DOI : 10.1016/0010-4809(83)90027-7

C. Li, C. Zheng, and C. Tai, Detection of ECG characteristic points using wavelet transforms, IEEE Trans on Biomed Eng, vol.42, pp.21-28, 1995.

A. Gutierrez, P. Hernandez, M. Lara, and S. Perez, A QRS detection algorithm based on Haar wavelet, Computers in Cardiology 1998. Vol. 25 (Cat. No.98CH36292), pp.353-356, 1998.
DOI : 10.1109/CIC.1998.731807

F. Castells, P. Laguna, L. Sörnmo, A. Bollmann, and J. Roig, Principal Component Analysis in ECG Signal Processing, EURASIP Journal on Advances in Signal Processing, vol.2007, issue.1
DOI : 10.1161/01.CIR.73.4.684

. Appl and . Process, Available from: http://dx.doi.org/10, pp.98-9874580, 1155.

L. Van-der-maaten, E. Postma, and J. Van-den-herik, Dimensionality Reduction: A Comparative Review, Tilburg centre for Creative Computing, 2009.

A. K. Ka, ECG beat classification using waveform similarity and RR intervals, Journal of Medical and Biological Engineering, 2011.

A. K. Ka and D. Pétritis, Automated localisation and classification of abnormal beats in electrocardiograms using parsimonious wavelet analysis, Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL '11, pp.10-1145, 2011.
DOI : 10.1145/2093698.2093811

URL : https://hal.archives-ouvertes.fr/hal-00679151