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

Lung sounds recorded from pathological and healthy subjects were classified as belonging
to restrictive and obstructive respiratory diseases and healthy subjects. Feature parameters …

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 …

In this study, different feature sets are used in conjunction with k-NN and artificial neural
network (ANN) classifiers to address the classification problem of respiratory sound signals …

Determination of lung condition by auscultation is a difficult task and requires special
training of medical staff. It is, however, a difficult skill to acquire. In decision making, it is …

Lung sounds convey useful information related to pulmonary pathology. In this paper, short-
term spectral characteristics of lung sounds are studied to characterize the lung sounds for …

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

Objective. Develop and test methods for representing and classifying breath sounds in an
intensive care setting. Methods. Breath sounds were recorded over the bronchial regions of …

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 …

Classification of respiratory sounds (RS) by artificial intelligence (AI) methods has been
studied by many groups, and a preferred method belonging to Deep Neural Networks (DNN) …