Cardiovascular diseases (heart diseases) are the leading cause of death worldwide. The
earlier they can be predicted and classified; the more lives can be saved. Electrocardiogram …

An Electrocardiogram (ECG) is a non-invasive test that is broadly utilized for monitoring and
diagnosing the cardiac arrhythmia. An irregularity of the heartbeat is generally defined as …

Electrocardiogram (ECG) are the physiological signals and a standard test to measure the
heart's electrical activity that depicts the movement of cardiac muscles. A review study has …

The use of deep learning models in the classification of medical diseases has evolved
drastically in recent years. One such prominent application was in the classification of ECG …

Abstract Although Machine Learning and Deep Learning technologies have been widely
used and have shown high accuracy in many applications, including in the health field, their …

Arrhythmia is a fatal cardiac clinical condition that risks the lives of millions every year. It has
multiple classes with variable prevalence rates. Some rare arrhythmia classes are equally …

The heart is a very crucial organ of the body. Concerted efforts are constantly put forward to
provide adequate monitoring of the heart. A heart disorder is reported to cause a lot of …

Cross-domain arrhythmia classification (CAC) aims to transfer the model trained on a label-
sufficient source domain to a label-scarce target domain. To the best of our knowledge …

Background: The abnormalities in the heart rhythm result in various cardiac issues affecting
the normal functioning of the heart. Early diagnosis helps prevent serious outcomes and to …

In recent years, deep learning has been applied in numerous fields and has yielded
excellent results. Convolutional neural networks (CNNs) have been used to analyze …