Globally, respiratory diseases are the leading cause of death, making it essential to develop
an automatic respiratory sounds software to speed up diagnosis and reduce physician …

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 …

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

Automated respiratory sound classification aims to provide a rapid and reliable diagnosis of
respiratory disease. However, the database used to develop a lung sounds classification …

Accurate analysis and classification of respiratory sound play an important role in the
diagnosis of respiratory diseases. Most of the current methods for classifying respiratory …

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 …

Lung auscultation is essential for early lung condition detection. Categorizing adventitious
lung sounds requires expert discrimination by medical specialists. This paper details the …

A plethora of great successes has been achieved by the existing convolutional neural
networks (CNN) for respiratory sound classification. Nevertheless, simultaneously capturing …

Respiratory diseases constitute one of the leading causes of death worldwide and directly
affect the patient's quality of life. Early diagnosis and patient monitoring, which …

Respiratory sound (RS) attributes and their analyses structure a fundamental piece of
pneumonic pathology, and it gives symptomatic data regarding a patient's lung. A couple of …