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

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 …

Chronic Respiratory Diseases (CRDs) are the most common diseases that affect people in
today's world. In COVID 19 pandemic many people are suffering from different types of …

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 …

Pulmonary diseases are the third biggest cause of deaths worldwide. A prominent method to
detect these diseases is the observation of lung sound signals. There is an increasing need …

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

Lung sounds refer to the sound generated by air moving through the respiratory system.
These sounds, as most biomedical signals, are non-linear and non-stationary. A vital part of …

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 …

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

Listening to lung sounds through auscultation is vital in examining the respiratory system for
abnormalities. Automated analysis of lung auscultation sounds can be beneficial to the …