Heart attacks are a leading cause of mortality worldwide. This paper proposes an
identification method based on recurrence quantification analysis (RQA) and Kolmogorov …

Ventricular Tachycardia (VT) is one of the leading causes of sudden cardiac death in the
world. Prediction of VT is usually diagnosed by using Electrocardiogram (ECG) and requires …

Cardiac arrhythmia, which means abnormality of heart rhythm, in fact refers to disorder in
electrical conduction system of the heart. The aim of this paper is to present a classifier …

Cardiac Arrhythmias are known as one of the most dangerous cardiac diseases. Applying
intelligent algorithms in this area, leads into the reduction of the ECG signal processing time …

An electrocardiogram (ECG) beat classification scheme based on multiple signal
classification (MUSIC) algorithm, morphological descriptors, and neural networks is …

The sum total of millions of cardiac cell depolarization potentials can be represented using
an electrocardiogram (ECG). By inspecting the P-QRS-T wave in the ECG of a patient, the …

In the last century, cardiovascular illnesses are the first death cause in developed countries.
For this reason, many efforts have been made in order to develop sophisticated techniques …

This paper presents a classification method for arrhythmia using probabilistic neural
network, based on unique combination of three Electrocardiogram (ECG) features; heart …

Cardiac arrhythmia is a common clinical problem in cardiology defined as the abnormality in
heart rhythm. Bradycardia, atrial fibrillation, tachycardia, supraventricular tachycardia, atrial …

A new approach of automatic classification of atrial fibrillation (AF) arrhythmia is proposed in
this paper. Our approach is based on discrete wavelet transform method followed by cross …