ECG Signal Processing, Classification and Interpretation: 410 A Comprehensive Framework of Computational Intelligence11 (volutionary Optimization of ECG Feature Extraction Methods: Applications to the Monitoring of Adult Myocardial Ischemia and Neonatal Apnea Bradycardia Events ,
DOI : 10.1007/978-0-85729-868-3
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
Current methods in electrocardiogram characterization, Computers in Biology and Medicine, vol.48, pp.133-149, 2014. ,
DOI : 10.1016/j.compbiomed.2014.02.012
Automatic Detection of Wave Boundaries in Multilead ECG Signals: Validation with the CSE Database, Computers and Biomedical Research, vol.27, issue.1, pp.45-60, 1994. ,
DOI : 10.1006/cbmr.1994.1006
An approach to cardiac arrhythmia analysis using hidden Markov models, IEEE Transactions on Biomedical Engineering, vol.37, issue.9, pp.826-836, 1990. ,
DOI : 10.1109/10.58593
Probabilistic models for automated ECG interval analysis, 2006. ,
ECG signal analysis through hidden Markov models, IEEE Transactions on Biomedical Engineering, vol.53, issue.8, pp.1541-1549, 2006. ,
DOI : 10.1109/TBME.2006.877103
An Approach Combining Wavelet Transform and Hidden Markov Models for ECG Segmentation, 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, pp.1018-1023, 2008. ,
DOI : 10.1109/ICTTA.2008.4530054
Combining wavelet transform and hidden Markov mod- 435 els for ECG segmentation, EURASIP Journal on Advances in Signal Processing, pp.1-6, 2006. ,
A Multi-HMM Approach to ECG Segmentation, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), 2006. ,
DOI : 10.1109/ICTAI.2006.17
URL : https://hal.archives-ouvertes.fr/inria-00095437
A Novel Approach to ECG Classification Based upon Two-Layered HMMs in Body Sensor Networks, Sensors, vol.14, issue.4, pp.5994-6011, 2014. ,
DOI : 10.3390/s140405994
Incremental HMM training applied to ECG signal analysis, Computers in Biology and Medicine, vol.38, issue.6, pp.659-667, 2008. ,
DOI : 10.1016/j.compbiomed.2008.03.006
URL : https://hal.archives-ouvertes.fr/hal-01326204
ECG segmentation in a body sensor network using hidden Markov 445 models, International Workshop on Wearable and Implantable Body Sensor Networks, pp.285-288, 2008. ,
P-and T-wave delineation in ECG signals using a Bayesian approach and a partially collapsed Gibbs sampler, IEEE Transaction on Biomedical Engineering, vol.57, issue.12, pp.2840-2849, 2010. ,
P and T wave delineation and waveform estimation in ECG signals using a block Gibbs sampler, International Conference on Acoustics, Speech and Signal Processig, pp.537-540, 2011. ,
Detection of ECG characteristic points using wavelet 455 transforms, IEEE Transaction on Biomedical Engineering, vol.42, issue.1, pp.21-28, 1995. ,
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
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
A correlation analysis-based detection and delineation of ECG characteristic events using template waveforms extracted by ensemble averaging of clustered heart cycles, Com- 465 puters in, Biology and Medicine, vol.44, pp.66-75, 2014. ,
Real-time electrocardiogram P-QRS-T detection???delineation algorithm based on quality-supported analysis of characteristic templates, Computers in Biology and Medicine, vol.52, pp.153-165, 2014. ,
DOI : 10.1016/j.compbiomed.2014.07.002
Combined entropy based method for detection of QRS complexes in 12-lead electrocardiogram using SVM, Computers in Biology and Medicine, vol.38, issue.1, pp.138-145, 2008. ,
DOI : 10.1016/j.compbiomed.2007.08.003
Empirical mode decomposition based ECG enhancement and QRS detection, Computers in Biology and Medicine, vol.42, issue.1, pp.83-92, 2012. ,
DOI : 10.1016/j.compbiomed.2011.10.012
Fiducial points extraction and charac- 475 teristic waves detection in ECG signal using a model-based bayesian framework, International Conference on Acoustics, Speech, and Signal Processing, pp.1257-1261, 2013. ,
A model-based Bayesian framework for ECG beat segmentation, Physiological Measurement, vol.30, issue.3, pp.335-352, 2009. ,
DOI : 10.1088/0967-3334/30/3/008
ECG fiducial points extraction by extended Kalman filtering, 2013 36th International Conference on Telecommunications and Signal Processing (TSP), pp.628-632, 2013. ,
DOI : 10.1109/TSP.2013.6614012
URL : https://hal.archives-ouvertes.fr/hal-00853768
Braunwald's Heart Disease :A Textbook of Cardiovascular Medicine, 2011. ,
An automated algorithm for online detection of fragmented QRS and identification of its various morphologies, Journal of The Royal Society Interface, vol.101, issue.23, pp.1-18, 2013. ,
DOI : 10.1161/01.CIR.101.23.e215
A Low-Complexity ECG Feature Extraction Algorithm for Mobile Healthcare Applications, IEEE Journal of Biomedical and Health Informatics, vol.17, issue.2, pp.490-459, 2013. ,
DOI : 10.1109/TITB.2012.2231312
Development of an Automated Updated Selvester QRS Scoring System Using SWT-Based QRS Fractionation Detection and Classification, IEEE Journal of Biomedical and Health Informatics, vol.18, issue.1, pp.193-204, 2014. ,
DOI : 10.1109/JBHI.2013.2263311
Ischemia detection using isoelectric energy function, Com- 500 puters in, Biology and Medicine, vol.68, pp.76-83, 2016. ,
An introduction to hidden Markov models, IEEE ASSP Magazine, vol.3, issue.1, pp.4-16, 1986. ,
DOI : 10.1109/MASSP.1986.1165342
A tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE, vol.77, issue.2, pp.257-286, 1989. ,
DOI : 10.1109/5.18626
Building a Cepstrum-HMM kernel for Apnea identification, Neurocomputing, vol.132, pp.505-159, 2014. ,
DOI : 10.1016/j.neucom.2013.04.048
Online apneabradycardia detection using hidden semi Markov models, in: Annual Interna- 510 tional Conference of the, IEEE Engineering in Medicine and Biology Society, pp.4374-4377, 2011. ,
Comparing hidden Markov model and hidden semi-Markov model based detectors of apnea-bradycardia episodes in preterm infants, in: Computing in Cardiology, pp.2012-389 ,
Online apnea???bradycardia detection based on hidden semi-Markov models, Medical & Biological Engineering & Computing, vol.174, issue.2, pp.1-13, 2015. ,
DOI : 10.1007/s11517-014-1207-1
Segmentation of 520 heart sound recordings by a duration-dependent hidden Markov model, Physiological Measurement, pp.31-513, 2010. ,
Automated Estimation of Fetal Cardiac Timing Events From Doppler Ultrasound Signal Using Hybrid Models, IEEE Journal of Biomedical and Health Informatics, vol.18, issue.4 ,
DOI : 10.1109/JBHI.2013.2286155
A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG, Computers in Cardiology 1997, pp.673-676, 1997. ,
DOI : 10.1109/CIC.1997.648140
Armoundas, A novel method to capture the onset of dynamic electrocardiographic ischemic changes and its implications to arrhythmia susceptibility, Journal of the American Heart AssociationJAHA), vol.3, pp.530-531, 2014. ,
A large-sample model selection criterion based on Kullback's symmetric divergence, Statistics & Probability Letters, vol.42, issue.4, pp.333-344, 1999. ,
DOI : 10.1016/S0167-7152(98)00200-4
Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978. ,
DOI : 10.1214/aos/1176344136
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
The Open-Source Electrophysiological Toolbox (OSET), version 3.1, 2014. [online], Available: http://www.oset.ir. 545 [47] CSE, Recomendations for measurement standards in quantitative electrocardiography, European Heart Journal: The CSE Working Party, vol.6, pp.815-825, 1985. ,
Assessment of the performance of electrocardiographic computer programs with the use of a refer- 550 ence data base, Circulation, Journal of the American Heart Association, vol.71, issue.3, pp.523-534, 1985. ,
Statistical methods for assessing agreement between two methods of clinical measurement, International Journal of Nursing Studies, vol.47, issue.8, pp.931-936, 2010. ,
DOI : 10.1016/j.ijnurstu.2009.10.001
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other, The Annals of Mathematical Statistics, vol.18, issue.1, pp.555-50, 1947. ,
DOI : 10.1214/aoms/1177730491
A study of cross validation and bootstrap for accuracy estimation and model selection, International Joint Conference on Artificial Intelligence, 1995. ,