Advances in technology have always had the potential and opportunity to shape the practice
of medicine, and in no medical specialty has technology been more rapidly embraced and …

Atrial fibrillation is a heart arrhythmia strongly associated with other heart-related
complications that can increase the risk of strokes and heart failure. Manual …

Electrocardiography (ECG) is a very common, non-invasive diagnostic procedure and its
interpretation is increasingly supported by algorithms. The progress in the field of automatic …

Coronary artery disease (CAD) is the most dangerous heart disease which may lead to
sudden cardiac death. However, CAD diagnoses are quite expensive and time‐consuming …

Electrocardiogram (ECG) is a widely used technique to diagnose cardiovascular diseases. It
is a non-invasive technique that represents the cyclic contraction and relaxation of heart …

We introduce a new distance between two distributions that we call the Earth Mover's
Distance (EMD), which reflects the minimal amount of work that must be performed to …

Objective: We aim to provide an algorithm for the detection of myocardial infarction that
operates directly on ECG data without any preprocessing and to investigate its decision …

The QRS complex is the most striking waveform within the electrocardiogram (ECG). Since it
reflects the electrical activity within the heart during the ventricular contraction, the time of its …

This study tackles the ECG classification problem by means of a methodology, which is able
to enhance classification performance while simultaneously reducing the computational …

This paper illustrates the use of combined neural network model to guide model selection for
classification of electrocardiogram (ECG) beats. The ECG signals were decomposed into …