The acquisition of Breath sounds (BS) signals from a human respiratory system with an
electronic stethoscope, provide and offer prominent information which helps the doctors to …

The human respiratory systems can be affected by several diseases and it is associated with
distinctive sounds. For advanced biomedical signal processing, one of the most complex …

Background: Auscultation is a medical procedure used for the initial diagnosis and
assessment of lung and heart diseases. From this perspective, we propose assessing the …

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) …

Deep Learning (DL) is an effective way that reveals on computation capability and
advantage of the hidden layer in the network models. It has pre-training phases which define …

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 …

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 …

Respiration is a vital process for all living organisms. In the diagnosis and the detection of
many health problems, patient's respiration rate, breath inhalation, and breath exhalation …

Sleep apnea is the most common sleep disorder that causes respiratory, cardiac and brain
diseases. The heart rate variability (HRV) and the electrocardiogram-derived respiration …

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