The healthcare sector, characterized by vast datasets and many diseases, is pivotal in
sha** community health and overall quality of life. Traditional healthcare methods, often …

Cardiovascular disease is the leading cause of death worldwide. Continuous heart
monitoring is an effective approach in detecting irregular heartbeats and providing early …

Background: The idea of smart healthcare has gradually gained attention as a result of the
information technology industry's rapid development. Smart healthcare uses next-generation …

Myocardial infarction (MI) accounts for a high number of deaths globally. In acute MI,
accurate electrocardiography (ECG) is important for timely diagnosis and intervention in the …

The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of
the virus, alleviate lockdown constraints and diminish the burden on health organizations …

Electrocardiogram (ECG) signal is a measure of the heart's electrical activity. Recently, ECG
detection and classification have benefited from the use of computer-aided systems by …

In this paper, an effective electrocardiogram (ECG) recurrence plot (RP)-based arrhythmia
classification algorithm that can be implemented in portable devices is presented. Public …

Deep learning models developed through multi-lead electrocardiogram (ECG) signals are
considered the leading methods for the automated detection of arrhythmia on computer …

Recently, machine learning (ML) and deep learning (DL) models based on artificial
intelligence (AI) have emerged as fast and reliable tools for predicting water quality index …

Deep learning methods have shown early progress in analyzing complicated ECG signals,
especially in heartbeat classification and arrhythmia detection. However, there is still a long …