The study of signals, processes, and systems has motivated the development of different
representations that can be used to analyze and understand them. Classical ways of …

A Phonocardiogram (PCG) signal represents murmurs and sounds signals made by
vibrations caused for the period of a cardiac cycle. Acoustic wave generated through the …

Introduction Application of Deep Learning (DL) methods is being increasingly appreciated
by researchers from the biomedical engineering domain in which heart sound analysis is an …

Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive functional
neuroimaging modality that has been widely used to investigate functional connectomes in …

The need to detect and classify objects correctly is a constant challenge, being able to
recognize them at different scales and scenarios, sometimes cropped or badly lit is not an …

One of the leading causes of loss of life globally is heart disease. This refers to conditions
that affect the heart's normal functioning, such as heart attacks and heart failure. Heart …

Chemistry is not a stagnant scientific discipline; on the contrary, chemistry is a continuously
advancing activity. Indeed, the XXI century is registering the emergence of several highly …

Objective A method to estimate absolute left ventricular (LV) pressure and its maximum rate
of rise (LV dP/dtmax) from epicardial accelerometer data and machine learning is proposed …

Detecting, locating, and classifying objects correctly is a hard task. It is essential to have
reliable models with high-accuracy levels, especially when handling challenging images …

Cardiovascular disease diagnosis and prompt medical care depend critically on the
classification of heart sounds. In recent years, deep learning-based approaches have shown …