… [19] Wang, JS; Chiang,WC; Hsu, YL; Yang, YTC ECG arrhythmia classification using a
probabilistic neural network with a feature reduction method. Neurocomputing 2013, 116, 38–45. […

… Training data of ECG arrhythmias used in this study was taken from MIT–BIH Arrhytmia
Database: (Physiobank Archieve Index, MIT–BIH Arrhytmia Database: http://www.physionet.org/…

… ECG lead refers to an imaginary line between two ECG electrodes [5]. The standard … of
machine or deep learning approaches for detecting heart disorders (such as arrhythmia), most of …

… This paper represents a novel feature elimination based approach to diagnose arrhythmia
by classifying it into normal and abnormal classes. Among the various factors that affect the …

… The efficacy of the proposed DENS-ECG model in detecting ECG waveforms provides us …
to analyze ECG recordings in order to diagnose cardiac arrhythmias such as AFIB. …

… Although our study shows that deep learning without feature extraction is effective for ECG
… Our approach allows us to automatically detect AF from ECGs, which will potentially lead to …

… This work follows this deep learning approach. We show that … arrhythmia as recommended
by Association for Advancement of Medical Instrumentation (AAMI) were analyzed from ECG …

… Thus, we suggest the incorporation of this approach on works aiming heartbeat classification.
It could bring important contribution to the literature by allowing better understanding of …

… classify arrhythmia of ECG, the database that was recorded by ECG, … DLM, medical background
about arrhythmias. Recently, in … learning approach to detect cardiac arrhythmias in ECG …

… Automatic analysis of each ECG heartbeat makes it possible to detect abnormalities. The main
aim … a fast deep learning and yet an efficient approach to classify cardiac arrhythmias. The …