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 …

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

Cardiovascular diseases are the leading cause of death and severely threaten human
health in daily life. There have been dramatically increasing demands from both the clinical …

Abstract Objective: Cardiovascular Diseases (CVDs) can be effectively treated when
detected early, reducing mortality rates significantly. Traditionally, Phonocardiogram (PCG) …

Objective: Cardiac auscultation is the most practiced non-invasive and cost-effective
procedure for the early diagnosis of heart diseases. While machine learning based systems …

Cardiac auscultation is an essential point-of-care method used for the early diagnosis of
heart diseases. Automatic analysis of heart sounds for abnormality detection is faced with …

An intelligent support system is needed to assist in the identification of abnormalities of a
human heart. The integration of signal processing with machine learning techniques is a …

Auscultation of the heart is a widely studied technique, which requires precise hearing from
practitioners as a means of distinguishing subtle differences in heart-beat rhythm. This …

Cardiovascular diseases have surpassed cancer as the leading cause of death on the
planet today. Numerous decision‐making systems with computer‐assisted support have …

Manual interpretation of heart sounds is insensitive and prone to subjectivity. Automated
diagnosis systems incorporating artificial intelligence and advanced signal processing tools …