Atrial fibrillation: current knowledge and recommendations for management. Working Group of Arrhythmias of the European Society of Cardiology, European Heart Journal, vol.19, pp.1294-320, 1998. ,
Heart rhythm characterization through induced physiological variables, Scientific Reports, vol.7, p.5059, 2017. ,
DOI : 10.1038/s41598-017-04998-7
URL : https://hal.archives-ouvertes.fr/hal-01760784
A Robust Detection Method of Short Atrial Fibrillation Episodes, Computing in Cardiology, vol.44, pp.1-4, 2017. ,
DOI : 10.22489/cinc.2017.097-365
URL : https://doi.org/10.22489/cinc.2017.097-365
Arrhythmia Classification using Mahalanobis Distance based Improved Fuzzy C-Means Clustering for Mobile Health Monitoring Systems, Neurocomputing, vol.220, pp.221-235, 2017. ,
DOI : 10.1016/j.neucom.2016.08.042
Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machine, Computers in Biology and Medicine, vol.60, pp.132-142, 2015. ,
Classification of ECG Signal during Atrial Fibrillation Using Autoregressive Modeling, Procedia Computer Science, vol.46, pp.53-59, 2015. ,
Automated detection of atrial fibrillation using Bayesian paradigm, Knowledge-Based Systems, vol.54, pp.269-275, 2013. ,
DOI : 10.1016/j.knosys.2013.09.016
Automatic detection of atrial fibrillation using R-R interval signal, BMEI, issue.2, pp.644-647, 2011. ,
Automatic selection of the threshold value R for approximate entropy, IEEE Trans Biomed Eng, vol.55, pp.1966-72, 2008. ,
Approximate Entropy as a Measure of System Complexity, Proc. Natl Academy Sci. USA, vol.88, pp.2297-2301, 1991. ,
Characterization of Surface EMG Signal Based on Fuzzy Entropy, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.15, 2007. ,
Physiological time-series analysis using approximate entropy and sample entropy, American Journal of Physiology, Heart and Circulatory Physiology, vol.278, p.2039, 2000. ,
DOI : 10.1152/ajpheart.2000.278.6.h2039
Accurate estimation of entropy in very short physiological time series: the problem of atrial fibrillation detection in implanted ventricular devices, Am J Physiol Heart Circ Physiol, vol.300, pp.319-344, 2011. ,
Potential of a Portable Electronic Nose for Control Quality of Moroccan traditional fresh cheeses, Sensor Letters, vol.9, pp.2229-2231, 2011. ,
Support vector clustering, Journal of Machine Learning Research, issue.2, pp.125-137 ,
Support Vector Networks, Machine Learning, vol.20, pp.273-297, 1995. ,
V, A training algorithm for optimal margin classifiers, Proceedings of the fifth annual workshop on Computational learning theory-COLT '92, p.144 ,
DOI : 10.1145/130385.130401
URL : http://www.svms.org/training/BOGV92.pdf
Learning the kernel matrix with semi-definite programming, J. Mach. Learn. Res, vol.5, pp.27-72, 2004. ,
A general and efficient multiple kernel learning algorithm, NIPS, pp.1273-1280, 2006. ,
lp-Norm multiple kernel learning, J. Mach. Learn. Res, vol.12, pp.953-997, 2011. ,
Smooth optimization for effective multiple kernel learning, Proc. AAAI Artif. Intell, 2010. ,
Multiple indefinite kernel learning with mixed norm regularization, Proc. 26 th ICML, pp.545-552, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00424033
, Journal of Machine Learning Research, Journal of Machine Learning Research, vol.9, p.2491, 2008.