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 …

This study concerns the task of automatic structural heart abnormality risk detection from
digital phonocardiogram (PCG) signals aiming at pediatric heart disease screening …

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 …

Auscultation of heart sounds is a noninvasive and less costly way for congenital heart
disease (CHD) diagnosis, especially for pediatric individuals. The deep-learning-based …

Objective. Cardiovascular diseases (CVDs) are a main cause of deaths all over the world.
This research focuses on computer-aided analysis of phonocardiogram (PCG) signals …

Automatic heart sound abnormality detection plays a vital role in the preliminary diagnosis of
cardiovascular diseases (CVDs). Many handcraft-designed or learning-based methods have …

At present, deep learning based heart sound diagnosis algorithms are mostly complex and
large models for high accuracy, which are difficult to deploy on mobile devices due to the …

Cardiac auscultation, exhibited by phonocardiogram (PCG), is a non-invasive and low-cost
diagnostic method for cardiovascular diseases (CVDs). However, deploying it in practice is …

METHODS: Using a diagnostic case-control study, we explored the use of bowel sounds to
characterize IBS with a view to diagnostic use. We recruited participants with an existing …

To design a classification algorithm of heart sounds with low hardware requirements and
applicability to mobile terminals, this paper proposes a laconic heart sound neural network …