An electrocardiogram (ECG) measures the electric activity of the heart and has been widely
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …

The early detection of abnormal heart rhythm has become crucial due to the spike in the rate
of deaths caused by cardiovascular diseases. While many existing works tried to classify …

In this work, we propose a novel approach to detect cardiac arrhythmias in
electrocardiograms (ECG). The proposal focuses on different feature extractors and machine …

Classifying arrhythmias can be a tough task for a human being and automating this task is
highly desirable. Nevertheless fully automatic arrhythmia classification through …

An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG)
signals, since the non-invasive nature and simplicity of the ECG exam. According to the …

Arrhythmia detection from ECG is an important area of computational ECG analysis.
However, although a large number of public ECG recordings are available, most research …

Nowadays, millions of people are affected by heart diseases worldwide, whereas a
considerable amount of them could be aided through an electrocardiogram (ECG) trace …

The confidence of medical equipment is intimately related to false alarms. The higher the
number of false events occurs, the less truthful is the equipment. In this sense, reducing (or …

Electrocardiogram (ECG) is a simple non-invasive measure to identify heart-related issues
such as irregular heartbeats known as arrhythmias. While artificial intelligence and machine …

Automated electrocardiogram classification techniques play an important role in assisting
physicians in diagnosing arrhythmia. Among these, the automatic classification of single …