Muhammad Awais, Nasreen Badruddin, and Micheal Drieberg. A hybrid approach to detect driver drowsiness utilizing physiological signals to improve system performance and Wearability, Sensors, 2017. ,
Autoencoders, unsupervised learning, and deep architectures, vol.27, pp.37-50, 2012. ,
ECG signal denoising and baseline wander correction based on the empirical mode decomposition, Computers in Biology and Medicine, 2008. ,
DOI : 10.1016/j.compbiomed.2007.06.003
, High-Bandpass Filters in Electrocardiography: Source of Error in the Interpretation of the ST Segment. ISRN Cardiology, 2012.
An introduction to topological data analysis: fundamental and practical aspects for data scientists. Submitted to the Journal de la Societe Francaise de Statistiques, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01614384
, The structure and stability of persistence modules, SpringerBriefs in Mathematics, 2016.
Improved detection and classification of arrhythmias in noise-corrupted electrocardiograms using contextual information. Harvard-MIT Division of Health Sciences and Technology, Goras and Fira, 1986. ,
Essam Houssein, Moataz Kilany, and Aboul Ella Hassanien. Ecg signals classification: a review, vol.5, p.376, 2017. ,
, Isin and Selen Ozdalili. Cardiac arrhythmia detection using deep learning, Procedia Computer Science, 2017.
Detection of Premature Ventricular Contractions Using Densely Connected Deep Convolutional Neural Network with Spatial Pyramid Pooling Layer, 2018. ,
Ecg arrhythmia classification using a 2-d convolutional neural network (submitted). 04 2017, vol.06, 2013. ,
, ECG-based heartbeat classification for arrhythmia detection: A survey, Computer Methods and Programs in Biomedicine, 2016.
The gudhi library: Simplicial complexes and persistent homology, International Congress on Mathematical Software, pp.167-174, 2014. ,
DOI : 10.1007/978-3-662-44199-2_28
URL : https://hal.archives-ouvertes.fr/hal-01108461
Hybrid firefly and particle swarm optimization algorithm for the detection of bundle branch block, Journal of Physics: Conference Series, vol.345, pp.44-48, 2001. ,
A new personalized ecg signal classification algorithm using block-based neural network and particle swarm optimization, Biomedical Signal Processing and Control, vol.25, pp.12-23, 2016. ,
A hybrid particle swarm optimization and bacterial foraging for optimal power system stabilizers design, International Journal of Electrical Power and Energy Systems, vol.46, pp.334-341, 2013. ,
DOI : 10.1016/j.ijepes.2012.10.047
Training Very Deep Networks, 2015. ,
Automatic detection of p, qrs and t patterns in 12 leads ecg signal based on cwt, Transactions of the Japanese Society for Artificial Intelligence, vol.32, issue.4, pp.46-52, 2014. ,