Background Automatic detection or classification of adventitious sounds is useful to assist
physicians in diagnosing or monitoring diseases such as asthma, Chronic Obstructive …

It has proved that the auscultation of respiratory sound has advantage in early respiratory
diagnosis. Various methods have been raised to perform automatic respiratory sound …

Lung sounds, which include all sounds that are produced during the mechanism of
respiration, may be classified into normal breath sounds and adventitious sounds. Normal …

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 …

Featured Application The automated classification of respiratory sound has gained
increasing attention in recent years and has been the subject of a growing number of …

Goal: Chest auscultation constitutes a portable low-cost tool widely used for respiratory
disease detection. Though it offers a powerful means of pulmonary examination, it remains …

Chest auscultation is a widely used clinical tool for respiratory disease detection. The
stethoscope has undergone a number of transformative enhancements since its invention …

In this work thirty features were tested in order to identify the best feature set for the robust
detection of wheezes. The features include the detection of the wheezes signature in the …

Respiratory signals emanating from human lungs give vital and indicative information
regarding the health status of a patient's lungs. Conventional clinical methods require …

The article considers the basic methods of machine learning for applying them to the task of
the lungs sounds classifying. A number of signal parameters were obtained on the basis of …