Cardiac auscultation is an accessible diagnostic screening tool that can help to identify
patients with heart murmurs, who may need follow-up diagnostic screening and treatment for …

The automated classification of heart sounds plays a significant role in the diagnosis of
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …

Cardiac auscultation is one of the most cost-effective techniques used to detect and identify
many heart conditions. Computer-assisted decision systems based on auscultation can …

Cardiovascular diseases have become one of the most prevalent threats to human health
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …

This paper studies the use of deep convolutional neural networks to segment heart sounds
into their main components. The proposed methods are based on the adoption of a deep …

Objective: This paper proposes a novel framework for the segmentation of phonocardiogram
(PCG) signals into heart states, exploiting the temporal evolution of the PCG as well as …

Heart sound auscultation has been applied in clinical usage for early screening of
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …

Background Heart sound plays a vital role to achieve an accurate diagnosis of
cardiovascular diseases, and its auxiliary diagnosis methods have become a hotspot. Aim …

Heart sounds are an important basis for evaluating heart disease. In recent years, auxiliary
diagnosis technology of cardiovascular disease based on the detection of heart sound …

Heart sound diagnosis and classification play an essential role in detecting cardiovascular
disorders, especially when the remote diagnosis becomes standard clinical practice. Most of …