The damage to the heart valves causes heart valve disorders (HVDs). The detection of
HVDs is crucial in a clinical study as these diseases may cause congestive heart failure …

The heart sounds recorded through a phonocardiogram (PCG) can assist in the early
detection of valvular heart diseases (VHD), which is important for minimizing the chances of …

This paper addresses the problem of automatic cry signal segmentation for the purposes of
infant cry analysis. The main goal is to automatically detect expiratory and inspiratory …

Empirical mode decomposition (EMD) is a data driven method for nonstationary data
analysis which has proven to be extremely useful in diverse applications in biomedical …

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

Physiological-signal-analysis-based approaches are typically used for automatic emotion
identification. Given the complex nature of signals-related emotions, their right identification …

QRS complex detection is regarded as a baseline procedure for the segmentation of
electrocardiographic (ECG) signals, as it is usually the most distinctive component of the …

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 process of distinguishing among human beings through the inspection of acquired data
from physical or behavioral traits is known as biometric identification. Mostly, fingerprint-and …

Heart auscultation is still the most commonly used method for diagnosing heart diseases
caused by heart valve abnormalities, but it is highly subjective and heavily relies on the …