Chronic obstructive pulmonary disease (COPD) and pneumonia are two of the few fatal lung
diseases which share common adventitious lung sounds. Diagnosing the disease from lung …

This article investigates the classification of normal and COPD subjects on the basis of
respiratory sound analysis using machine learning techniques. Thirty COPD and 25 healthy …

In recent times, technologies such as machine learning and deep learning have played a
vital role in providing assistive solutions to a medical domain's challenges. They also …

Diagnostic ambiguity between chronic pulmonary diseases like asthma and Chronic
Obstructive Pulmonary Disease (COPD) is very high, as they exhibit similar symptoms …

Telemedicine is one of the medical services related to information exchange tools (eHealth).
In recent years, the monitoring and classification of acoustic signals of respiratory-related …

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 …

Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the
world. Because COPD is an incurable disease and requires considerable time to be …

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 …

Background and objective Crackle, wheeze and normal lung sound discrimination is vital in
diagnosing pulmonary diseases. Previous works suffer from limited frequency resolution and …

Respiratory sound analysis provides vital information of the present condition of the Lungs. It
can be used to assist medical professionals in differential diagnosis. In this paper, we intend …