Context Data mining (DM) provides the methodology and technology needed to transform
huge amounts of data into useful information for decision making. It is a powerful process …

Electrocardiogram (ECG) is an important diagnostic tool in medical engineering, presented
in the form of electrical signal. Its complete analysis requires three stages viz. pre …

This paper explores the advanced properties of empirical mode decomposition (EMD) and
its multivariate extension (MEMD) for emotion recognition. Since emotion recognition using …

Based on a convolutional neural network (CNN) approach, this article proposes an
improved ResNet‐18 model for heartbeat classification of electrocardiogram (ECG) signals …

Computer-aided heartbeat classification has a significant role in the diagnosis of cardiac
dysfunction. Electrocardiogram (ECG) provides vital information about the heartbeats. In this …

Classifying electrocardiogram (ECG) heartbeats for arrhythmic risk prediction is a
challenging task due to minute variations in the amplitude, duration and morphology of the …

Automatic recognition of arrhythmias is particularly important in the diagnosis of heart
diseases. This study presents an electrocardiogram (ECG) recognition system based on …

The computer-aided diagnosis system is used to reduce the high mortality rate among heart
patients through detecting cardiac diseases at an early stage. Since the process of detecting …

It is a difficult process to detect abnormal heart beats, known as arrhythmia, in long-term
ECG recording. Thus, computer-aided diagnosis systems have become a supportive tool for …

The analysis of the surface Electrocardiogram (ECG) is the most extended non-invasive
technique in cardiological diagnosis. The ectopic beats are heart beats remarkably different …