Electrocardiogram (ECG) is a widely used technique to diagnose cardiovascular diseases. It
is a non-invasive technique that represents the cyclic contraction and relaxation of heart …

This work presents an efficient hybridized approach for the classification of
electrocardiogram (ECG) samples into crucial arrhythmia classes to detect heartbeat …

To enhance the accuracy of object recognition, various combination of recognition
algorithms are used in recent literature. In this paper coherence of Discrete Wavelet …

Automatic heart disease detection from human heartbeats is a challenging and intellectual
assignment in signal processing because periodically monitoring of the heart beat …

The ECG uses some methods to diagnose these cardiac arrhythmias and tries to correct the
diagnosis. ECG signals are characterized by a collection of waves such as P, Q, R, S, T …

Dilated Cardiomyopathy (DCM) is one of the cardiovascular diseases (CVDs) that is the root
cause leading towards other CVDs such as Arrhythmias and Myocardial infarction (MI). The …

The aim of this paper is to develop an intelligent event-driven Electrocardiogram (ECG)
processing module in order to achieve a computationally efficient solution for diagnosis of …

The generalized S transform (GST) can flexibly adjust the change trend of the fundamental
window function according to the frequency distribution characteristics and the time …

The Electrocardiogram is a tool used to access the electrical recording and muscular
function of the heart and in last few decades it is extensively used in the investigation and …

Fetal heart rate monitoring during pregnancy can help to diagnose distress and morbidity for
a fetus. Noninvasive fetal electrocardiography (NI-FECG) is a promising technology that …