This paper discusses four heart sound segmentation (HSS) methods: Wavelet transform,
Fractal decomposition, Hilbert Transform, and Shannon Energy Envelogram, in order to …

Objective: This study focuses on the first (S1) and second (S2) heart sound recognition
based only on acoustic characteristics; the assumptions of the individual durations of S1 and …

Presently, most deaths are caused by heart disease. To overcome this situation, heartbeat
sound analysis is a convenient way to diagnose heart disease. Heartbeat sound …

This paper proposes a novel automatic method for the moment segmentation and peak
detection analysis of heart sound (HS) pattern, with special attention to the characteristics of …

A new unsupervised and low complexity method for detection of S1 and S2 components of
heart sound without the ECG reference is described The most reliable and invariant feature …

Auscultation is the most efficient way to diagnose cardiovascular and respiratory diseases.
To reach accurate diagnoses, a device must be able to recognize heart and lung sounds …

Nowadays, heart disease is the leading cause of death. The high mortality rate and
escalating occurrence of heart diseases worldwide warrant the requirement for a fast and …

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 …

This paper presents two new ideas. The first one is to apply the Viola integral waveform
method to analyze the heart sounds recorded by an electric stethoscope, and the multi-scale …

Cardiovascular diseases (CVDs) are a significant cause of death worldwide. CVDs can be
prevented by diagnosing heartbeat sounds and other conventional techniques early to …