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

The knowledge discovery has been widely applied to mine significant knowledge from
medical data. Nevertheless, previous studies have produced large numbers of imprecise …

In medical practices, the detection of diseases highly depends on different medical tests.
Electrocardiogram (ECG) technique is commonly used for heart disease diagnosis. Doctors …

This effort examines and likens a collection of active methods to dimensionally reduction
and select salient features since the electrocardiogram database. ECG signal classification …

An arrhythmia is an abnormality in the heart rhythm, or heartbeat pattern. ECG beats can be
classified into six different arrhythmia beat types (left bundle branch block, right bundle …

Abstract Machine Learning (ML) is a booming technology well-suited for data analysis in all
fields, especially healthcare. Cardiovascular Disease (CVD) is one of the deadliest diseases …

A great progress has been made in the past few years on remotely monitoring human health
in real-time through the micro sensor. With the assurance of the reliability and security for the …

Early detection and prediction of cardiac anomalies play an important role in the diagnosis
and treatment of cardiovascular diseases. In medicine, electrocardiography provides …

Coronary heart disease is being identified as the largest single cause of death along the
world. The aim of a cardiac clinical information system is to achieve the best possible …

Heart disease is one of the fatal human diseases that cause sudden death, and the ratio of
deaths has been rapidly increasing globally in both developed and developing countries in …