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 …

Intelligent computer-aided diagnosis (CAD) systems can enhance the diagnostic capabilities
of physicians and reduce the time required for accurate diagnosis. CAD systems could …

Heart sounds entail crucial heart function information. In conditions of heart abnormalities,
such as valve dysfunctions and rapid blood flow, additional sounds are heard in regular …

Background The success of cardiac auscultation varies widely among medical
professionals, which can lead to missed treatments for structural heart disease. Applying …

This paper presents an automatic detection system for the classification of
phonocardiographic (PCG) signals using 4 standard auscultation areas (one of each cardiac …

As cardiac murmurs do not generally appear in every area of auscultation, this paper
presents an effective approach for cardiac murmur detection based on stochastic analysis of …

This study is a systematic review of literature on the classification of sounds in three domains-
Bioacoustics, Biomedical acoustics, and Ecoacoustics. Specifically, 68 conferences and …

The authors propose a framework for binary classification of challenging objects (eg
incomplete, partial occluded, background over-lapped, scaled, outdoor) in surveillance …

The heart's mechanical activity can be appraised by auscultation recordings, taken from the
4-Standard Auscultation Areas (4-SAA), one for each cardiac valve, as there are invisible …

The automated heart murmur detection has become increasingly relevant to aid the medical
diagnosis. The George B. Moody PhysioNet Challenge 2022 proposed a similar problem to …