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

Lung auscultation has long been used as a valuable medical tool to assess respiratory
health and has gotten a lot of attention in recent years, notably following the coronavirus …

The heart sound signals captured via a digital stethoscope are often distorted by
environmental and physiological noise, altering their salient and critical properties. The …

Recently, assistive explanations for difficulties in the health check area have been made
viable thanks in considerable portion to technologies like deep learning and machine …

Community-Acquired Pneumonia (CAP) is a significant cause of child mortality globally, due
to the lack of ubiquitous monitoring methods. Clinically, the wireless stethoscope can be a …

Lung sound analysis has been used for assessing the lung conditions of children with
community-acquired pneumonia (CAP). However, the inconsistent data distribution, caused …

Respiratory disorders, being one of the leading causes of disability worldwide, account for
constant evolution in management technologies, resulting in the incorporation of artificial …

In this paper, a parallel computing method is proposed to perform the background denoising
and wheezing detection from a multi-channel recording captured during the auscultation …

Stethoscopes are used ubiquitously in clinical settings to 'listen'to lung sounds. The use of
these systems in a variety of healthcare environments (hospitals, urgent care rooms, private …

Existing audio-based asthma monitoring solutions rely on feature engineering designs
paired with contact-based auscultation which are brittle in practice and do not scale beyond …