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 …

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) …

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

Electronic auscultation is an efficient technique to evaluate the condition of respiratory
system using lung sounds. As lung sound signals are non-stationary, the conventional …

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

Auscultation based diagnosis of pulmonary disorders relies on the presence of adventitious
sounds. In this paper, we propose a new set of features based on temporal characteristics of …

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: 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 …

The computerized respiratory sound analysis systems provide vital information concerning
the current condition of the lung. These systems, used by physicians for the diagnosis of …

Usually, physicians diagnosing lung diseases by listening to the lung sound using
stethoscope. This technique is known as auscultation. Some lung diseases produce unique …