Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …

Cardiovascular diseases currently pose the highest threat to human health around the
world. Proper investigation of the abnormalities in heart sounds is known to provide vital …

Heart sound classification plays a vital role in the early detection of cardiovascular disorders,
especially for small primary health care clinics. Despite that much progress has been made …

In the past few decades, analysis of heart sound signals (ie the phonocardiogram or PCG),
especially for automated heart sound segmentation and classification, has been widely …

The identification of the exact positions of the first and second heart sounds within a
phonocardiogram (PCG), or heart sound segmentation, is an essential step in the automatic …

Most heart diseases are associated with and reflected by the sounds that the heart
produces. Heart auscultation, defined as listening to the heart sound, has been a very …

One of the major causes of death all over the world is heart disease or cardiac dysfunction.
These diseases could be identified easily with the variations in the sound produced due to …

We proposed a one-dimensional convolutional neural network (CNN) model, which divides
heart sound signals into normal and abnormal directly independent of ECG. The deep …

Auscultation is one of the most used techniques for detecting cardiovascular diseases,
which is one of the main causes of death in the world. Heart murmurs are the most common …

An efficient heart sound segmentation (HSS) method that automatically detects the location
of first (S 1) and second (S 2) heart sound and extracts them from heart auscultatory raw …