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 …

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 …

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

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 …

Recognition of lung sounds is an important goal in pulmonary medicine. In this work, we
present a study for neural networks–genetic algorithm approach intended to aid in lung …

Background: Computerized lung sound analysis involves recording lung sound via an
electronic device, followed by com‑puter analysis and classification based on specific signal …

Abstract Machine learning has proven to be an effective technique in recent years and
machine learning algorithms have been successfully used in a large number of applications …

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 …

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 …

Background and objective: The stethoscope based auscultation technique is a primary
diagnostic tool for chest sound analysis. However, the performance of this method is limited …