One of the most common diagnostic techniques for detecting certain cardiovascular
diseases is using electrocardiogram (ECG) readings. Doctors around the world mostly rely …

Self-supervised learning is a paradigm that extracts general features which describe the
input space by artificially generating labels from the input without the need for explicit …

Comorbidities' awareness is relevant to evaluate patients' conditions. However, very often,
the main source of such information is patient self-report, which lacks reliability. Arterial …

In this work, we describe an end-to-end deep learning architecture for Heart Murmur
Detection from Phonocar-diogram (PCG) recordings as part of The George B. Moody …

With Cardiovascular Diseases on the rise around the world, Electrocardiograms (ECGs) play
a crucial role in their diagnosis owing to their non-invasive nature and simplicity. Medical …

This article proposes a method to classify cardiac arrhythmias using feature extraction and
dimensionality reduction techniques. The experiment was carried out with the QRS …