Z. Zidelmal, A. Amirou, D. Ould-abdeslam, A. Moukadem, and A. Dieterlen, QRS detection using S-Transform and Shannon energy, Computer Methods and Programs in Biomedicine, vol.116, issue.1, pp.1-9, 2014.
DOI : 10.1016/j.cmpb.2014.04.008

R. Tafreshi, A. Jaleel, J. Lim, and L. Tafreshi, Automated analysis of ECG waveforms with atypical QRS complex morphologies, Proc. and Cont, pp.41-49, 2014.
DOI : 10.1016/j.bspc.2013.12.007

X. Ning and I. W. Selesnick, ECG Enhancement and QRS Detection Based on Sparse Derivatives, Biomedical Signal Processing and Control, vol.8, issue.6, pp.713-723, 2013.
DOI : 10.1016/j.bspc.2013.06.005

J. P. Madeiro, W. B. Nicolson, P. C. Cortez, J. A. Marques, C. R. Vázquez-seisdedos et al., New approach for T-wave peak detection and T-wave end location in 12-lead paced ECG signals based on a mathematical model, Medical Engineering & Physics, vol.35, issue.8, pp.1105-1115, 2013.
DOI : 10.1016/j.medengphy.2012.11.007

H. Zhu and J. Dong, An R-peak detection method based on peaks of Shannon energy envelope, Biomedical Signal Processing and Control, vol.8, issue.5, pp.466-474, 2013.
DOI : 10.1016/j.bspc.2013.01.001

Y. Sun and S. Suppappola, Nonlinear transforms of ecg signals for digital qrs detection: a quantitative analysis, Biomed. Eng, vol.41, issue.4, pp.397-400, 1994.

H. Chatterjee, R. Gupta, and M. Mitra, Real Time P and T Wave Detection from Ecg using Fpga, Procedia Technology, vol.4, pp.840-844, 2012.
DOI : 10.1016/j.protcy.2012.05.138

K. Daskalov, I. Dotsinsky, and I. Christov, Developments in ECG acquisition, preprocessing, parameter measurement, and recording, IEEE Engineering in Medicine and Biology Magazine, vol.17, issue.2, pp.50-58, 1998.
DOI : 10.1109/51.664031

S. Bashir, A. D. Bakhshi, and M. A. Maud, A template matched-filter based scheme for detection and estimation of t-wave alternans, Biomedical Signal Processing and Control, vol.13, pp.247-261, 2014.
DOI : 10.1016/j.bspc.2014.05.003

M. Homaeinezhad, M. Erfanian, and H. Naseri, A correlation analysis-based detection and delineation of ECG characteristic events using template waveforms extracted by ensemble averaging of clustered heart cycles, Computers in Biology and Medicine, vol.44, issue.1, pp.66-75, 2014.
DOI : 10.1016/j.compbiomed.2013.10.024

P. Addison, Wavelet transforms and the ECG: a review, Physiological Measurement, vol.26, issue.5, pp.155-199, 2005.
DOI : 10.1088/0967-3334/26/5/R01

C. Li, C. Zheng, and C. Tai, Detection of ecg characteristic points using wavelet transforms, IEEE Trans. Biomed. Eng, vol.42, issue.1, pp.21-28, 1995.

Z. Zidelmal, A. Amirou, M. Adnane, and A. Belouchrani, QRS detection based on wavelet coefficients, Computer Methods and Programs in Biomedicine, vol.107, issue.3, pp.490-496, 2012.
DOI : 10.1016/j.cmpb.2011.12.004

J. Martinez, R. Almeida, S. Olmos, A. Rocha, and P. Laguna, A Wavelet-Based ECG Delineator: Evaluation on Standard Databases, IEEE Transactions on Biomedical Engineering, vol.51, issue.4, pp.570-581, 2004.
DOI : 10.1109/TBME.2003.821031

R. J. Martis, U. R. Acharya, and L. C. Min, ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform, Biomedical Signal Processing and Control, vol.8, issue.5, pp.437-448, 2013.
DOI : 10.1016/j.bspc.2013.01.005

A. Karimipour and M. Homaeinezhad, Real-time electrocardiogram p-qrst detection-delineation algorithm based on quality-supported analysis of characteristic templates, Comput. Biol. Med, pp.52-153, 2014.

S. Banerjee and M. Mitra, Application of Cross Wavelet Transform for ECG Pattern Analysis and Classification, IEEE Transactions on Instrumentation and Measurement, vol.63, issue.2, pp.326-333, 2014.
DOI : 10.1109/TIM.2013.2279001

R. Mark and G. Moody, Mit-bih arrhythmia database, 2011.

L. Senhadji, G. Carrault, 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

S. Mahmoodabadi, A. Ahmadian, and M. Abolhasani, Ecg feature extraction using daubechies wavelets, Proceedings of the fifth IASTED International conference on Visualization, Imaging and Image Processing, pp.343-348, 2005.

J. Serra, Image analysis and mathematical morphology, v. 1, Academic press, 1982.

J. P. Madeiro, P. C. Cortez, J. A. Marques, C. R. Seisdedos, and C. R. Sobrinho, An innovative approach of QRS segmentation based on first-derivative, Hilbert and Wavelet Transforms, Medical Engineering & Physics, vol.34, issue.9, pp.1236-1246, 2012.
DOI : 10.1016/j.medengphy.2011.12.011

Y. Yeh and W. Wang, Qrs complexes detection for ecg signal: The difference operation method, Computer methods and programs in biomedicine, pp.245-254, 2008.

M. S. Manikandan and K. Soman, A novel method for detecting R-peaks in electrocardiogram (ECG) signal, Biomedical Signal Processing and Control, vol.7, issue.2, pp.118-128, 2012.
DOI : 10.1016/j.bspc.2011.03.004

R. Sameni, M. B. Shamsollahi, C. Jutten, and G. D. Clifford, A Nonlinear Bayesian Filtering Framework for ECG Denoising, IEEE Transactions on Biomedical Engineering, vol.54, issue.12, pp.2172-2185, 2007.
DOI : 10.1109/TBME.2007.897817
URL : https://hal.archives-ouvertes.fr/hal-00174330

R. Mitchell, Evaluation of adaptive line enhancement for beat-to-beat detection of ventricular late potentials, Electronics Letters, vol.35, issue.13, pp.1037-1038, 1999.
DOI : 10.1049/el:19990755

J. R. Hampton, The ECG made easy, 2013.

Y. Yeh and W. , QRS complexes detection for ECG signal: The Difference Operation Method, Computer Methods and Programs in Biomedicine, vol.91, issue.3, pp.91-245, 2008.
DOI : 10.1016/j.cmpb.2008.04.006

S. M. Narayan, M. R. Franz, G. Lalani, J. Kim, and A. Sastry, T-Wave Alternans, Restitution of Human Action Potential Duration, and Outcome, Journal of the American College of Cardiology, vol.50, issue.25, pp.2385-2392, 2007.
DOI : 10.1016/j.jacc.2007.10.011

S. Danik, C. Cabo, C. Chiello, S. Kang, A. L. Wit et al., Correlation of repolarization of ventricular monophasic action potential with ECG in the murine heart, American Journal of Physiology - Heart and Circulatory Physiology, vol.283, issue.1, pp.372-381, 2002.
DOI : 10.1152/ajpheart.01091.2001

R. Poli, C. S. , 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

J. Madeiro, C. P. , M. J. , and S. C. , An innovative approach of QRS segmentation based on first-derivative, Hilbert and Wavelet Transforms, Medical Engineering & Physics, vol.34, issue.9, pp.1236-1246, 2012.
DOI : 10.1016/j.medengphy.2011.12.011

P. Hamilton and W. Tompkins, Quantitative Investigation of QRS Detection Rules Using the MIT/BIH Arrhythmia Database, IEEE Transactions on Biomedical Engineering, vol.33, issue.12, pp.1157-1165, 1986.
DOI : 10.1109/TBME.1986.325695

A. Cabasson, O. Meste, G. Blain, and S. Bermon, Estimation, analysis and comparison of the pr and rr intervals under exercise conditions and recovery, Computers in Cardiology, pp.497-500, 2006.

A. Cabasson, O. Meste, G. Blain, and S. Bermon, Quantifying the PR Interval Pattern During Dynamic Exercise and Recovery, IEEE Transactions on Biomedical Engineering, vol.56, issue.11, pp.2675-2683, 2009.
DOI : 10.1109/TBME.2009.2028694
URL : https://hal.archives-ouvertes.fr/hal-00430395