Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …

The use of computer-based automated approaches and improvements in lung sound
recording techniques have made lung sound-based diagnostics even better and devoid of …

An efficient heart sound segmentation (HSS) method that automatically detects the location
of first (S 1) and second (S 2) heart sound and extracts them from heart auscultatory raw …

Singular spectrum analysis (SSA) is a signal decomposition technique that aims at
expanding signals into interpretable and physically meaningful components (eg, sinusoids …

Recent advancements in signal processing and computerised methods are expected to
underpin the future progress of biomedical research and technology, particularly in …

The electroencephalogram (EEG) signals are often mixed with several sources such as
electrooculogram and electromyogram signals. Independent component analysis (ICA) is …

Goal: Chest auscultations offer a non-invasive and low-cost tool for monitoring lung disease.
However, they present many shortcomings, including inter-listener variability, subjectivity …

Original adaptive line enhancer (ALE) is used for denoising periodic signals from white
noise. ALE, however, relies mainly on second order similarity between the signal and its …

This paper proposed various feature extraction procedures to separate crackles and rhonchi
of pathological lung sounds from normal lung sounds. The feature extraction process for …

Background Manual sleep scoring is deemed to be tedious and time consuming. Even
among automatic methods such as time–frequency (T–F) representations, there is still room …