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 …

Artificial intelligence (AI) has recently been established as an alternative method to many
conventional methods. The implementation of AI techniques for respiratory sound analysis …

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 …

Background Pulmonary acoustic parameters extracted from recorded respiratory sounds
provide valuable information for the detection of respiratory pathologies. The automated …

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

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 …

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 …

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

Objective: This paper describes the state of the art, scientific publications, and ongoing
research related to the methods of analysis of respiratory sounds. Methods and Material …