Background and objective Lung sound signals convey valuable information of the lung
status. Auscultation is an effective technique to appreciate the condition of the respiratory …

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

Auscultation-based diagnosis of pulmonary disorders relies heavily on the presence of
adventitious sounds and on the altered transmission characteristics of the chest wall. The …

Over the years, lung auscultation has been used as an effective clinical tool to monitor the
state of the respiratory system. Lung auscultation provides valuable information regarding …

Determination of lung condition by auscultation is a difficult task and requires special
training of medical staff. It is, however, a difficult skill to acquire. In decision making, it is …

Background: Respiratory sound analysis represents a research topic of growing interest in
recent times. In fact, in this area, there is the potential to automatically infer the abnormalities …

Modern understanding of lung sounds started with a historical article by Forgacs. Since then,
many studies have clarified the changes of lung sounds due to airway narrowing as well as …

Lung sounds convey relevant information related to pulmonary disorders, and to evaluate
patients with pulmonary conditions, the physician or the doctor uses the traditional …

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 study investigates the problems associated with lung sound recognition under noisy
conditions. Firstly, the effects of noise on the lung sound feature representation and the …