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

Accurate estimation of seismocardiographic (SCG) signal features can help successful
signal characterization and classification in health and disease. This may lead to new …

This paper presents a new method to detect and to delineate phonocardiogram (PCG)
sounds. Toward this objective, after preprocessing the PCG signal, two windows were …

Diagnosis of heart disease requires that a medical practitioner investigate heart
auscultations for irregular sounds, followed by echocardiography and electrocardiography …

Background and aims: Auscultation is a cheap and fundamental technique for detecting
cardiovascular disease effectively. Doctors' abilities in auscultation are varied. Sometimes …

Background The third and fourth heart sound (S3 and S4) are two abnormal heart sound
components which are proved to be indicators of heart failure during diastolic period. The …

Body auscultation is a frequent clinical diagnostic procedure used to diagnose heart
problems. The key advantage of this clinical method is that it provides a cheap and effective …

The major aim of this study is to describe a unified procedure for detecting noisy segments
and spikes in transduced signals with a cyclic but non-stationary periodic nature. According …

Background There are two major challenges in automated heart sound analysis:
segmentation and classification. An efficient segmentation is capable of providing valuable …

The major focus of this study is to describe and develop a phonocardiogram (PCG) signal
measurement binary quality assessment (accept–reject) technique. The proposed algorithm …