Heart disease is one of the leading causes of mortality throughout the world. Among the
different heart diagnosis techniques, an electrocardiogram (ECG) is the least expensive non …

In recent years the application of Deep Learning is widely used in various fields of science,
such as in the military, agriculture, health and even in other fields. In the field of health many …

Optimizing learning rates (LRs) in deep learning (DL) has long been challenging. Previous
solutions, such as learning rate scheduling (LRS) and adaptive learning rate (ALR) …

In healthcare, the persistent challenge of arrhythmias, a leading cause of global mortality,
has sparked extensive research into the automation of detection using machine learning …

The electrocardiogram (ECG) is a widely utilized signal in the prediction of Cardiovascular
Diseases (CVDs). ECG signals have the ability to detect the heart's unusual rhythmic …

Heart disease (HD), poses a global threat to human life. Despite its utmost significance,
finding solutions for this issue remains challenging. One effective approach is the early and …

Automated diagnosis of the cardiovascular disease from heartbeats of an individual is a
difficult and challenging task. Essentially, it requires continuous monitoring system to track …

Heart disease is one of the leading causes of mortality throughout the world. Among the
different heart diagnosis techniques, an electrocardiogram (ECG) is the least expensive non …

The electrocardiogram (ECG) is a widely utilized signal in the prediction of Cardiovascular
Diseases (CVDs). ECG signals have the ability to detect the heart's unusual rhythmic …

We utilized comprehensive databases containing various arrhythmia classes and heart
disease types to develop and evaluate the system. By leveraging the power of Machine …