Classification of electrocardiogram (ECG) signals plays an important role in diagnoses of
heart diseases. An accurate ECG classification is a challenging problem. This paper …

Effective monitoring of heart patients according to heart signals can save a huge amount of
life. In the last decade, the classification and prediction of heart diseases according to ECG …

The electrocardiogram (ECG) provides essential information about various human cardiac
conditions. Several studies have investigated this topic in order to detect cardiac …

Increased life expectancy in most countries is a result of continuous improvements at all
levels, starting from medicine and public health services, environmental and personal …

Cardiac arrhythmia is a condition where heart beat is irregular. The goal of this paper is to
apply deep learning techniques in the diagnosis of cardiac arrhythmia using ECG signals …

Electrocardiogram (ECG) is a P, QRS and T wave demonstrating the electrical activity of the
heart. Feature extraction and segmentation in ECG plays a significant role in diagnosing …

Background Health monitoring is shifting towards continuous, ambulatory and clinically
comparable wearable devices. Telemedicine and remote diagnosis could harness the …

This paper conducts an extensive review of flexible cardiac sensing devices designed for
electrocardiogram (ECG) acquisitions, with emphasis on their application in cardiac health …

In the biomedical science and research field, the electrocardiogram provides better results
due to advancements in technologies. The electrocardiogram is the electrical activity of the …

When dealing with electrocardiography (ECG) the main focus relies on the classification of
the heart's electric activity and deep learning has been proving its value over the years …