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 …

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

This work presents a comparison of different approaches for the detection of murmurs from
phonocardiographic signals. Taking into account the variability of the phonocardiographic …

Auscultation is an important diagnostic indicator for cardiovascular analysis. Heart sound
classification and analysis play an important role in the auscultative diagnosis. This study …

Cardiac auscultation that is a still widely used technique to diagnose heart murmurs induced
by heart disorders. Taking into account that this method is quite subjective and time …

This work discusses a method for the selection of dynamic features, based on the calculation
of the spectral power through time applied to the detection of systolic murmurs from …

The detection of murmurs from phonocardiographic recordings is an interesting problem that
has been addressed before using a wide variety of techniques. In this context, this article …

The Phonocardiogram (PCG) is the graphical recording of acoustic energy produced by the
mechanical activity of various cardiac. Due to the complicated mechanisms involved in the …

A novel method is presented to extract robust features for automatic classification of heart
sounds based on Empirical Mode Decomposition (EMD). The work decomposes segmented …