Identification of pulmonary diseases comprises of accurate auscultation as well as elaborate
and expensive pulmonary function tests. Prior arts have shown that pulmonary diseases …

This paper evaluates the use of breath sound recordings to automatically determine the
respiratory health status of a subject. A number of features were investigated and Wilcoxon …

Large number of people die every year of Pulmonary chronic lung diseases irrespective of
their age. Lung sound analysis has been a key diagnostic aid to accurately detect …

The analysis of lung sounds, collected through auscultation, is a fundamental component of
pulmonary disease diagnostics for primary care and general patient monitoring for …

The automatic analysis of respiratory sounds has been a field of great research interest
during the last decades. Automated classification of respiratory sounds has the potential to …

There are several diseases (eg asthma, pneumonia etc.) affecting the human respiratory
apparatus altering its airway path substantially, thus characterising its acoustic properties …

In this work, respiratory sounds are classified into four classes in the presence of various
noises (talking, coughing, motion artefacts, heart and intestinal sounds) using support vector …

In this paper, we propose a robust classification method to distinguish between a healthy
subject and a patient with pulmonary emphysema using lung sound samples recorded from …

This paper proposes an effective classification method to differentiate between normal and
abnormal lung sounds, which takes into account the detection level of heart sounds …

Lung sounds carry valuable information regarding the lungs pathology. The collaboration of
advanced digital signal processing method and machine learning framework has immense …