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 …

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 …

In this work, an efficient feature extraction scheme is developed for classifying the pulmonary
diseases. The proposed method is hybrid which combines two important techniques that are …

Chronic obstructive pulmonary disease (COPD) is a chronic non-reversible lung disease.
Other acute respiratory illness due to infections are termed as non-chronic. In general, the …

Chronic obstructive pulmonary disease is a widespread, evitable and remediable ailment
accentuated by the deregulation of a stream of air in the lungs or due to pleura anomalies …

The method is of great importance in systems that include machine learning and
classification steps. As a result, academics are constantly working to improve the process …

Covid-19 is a new variety of coronavirus that affects millions of people around the world.
This virus infected millions of people and hundreds of thousands of people have passed …

For patients suffering from obstructive sleep apnea and sleep-related breathing disorders,
snoring is quite common, and it greatly interferes with the quality of life for them and for the …

Accurate analysis and classification of respiratory sound play an important role in the
diagnosis of respiratory diseases. Most of the current methods for classifying respiratory …

Lung sounds refer to the sound generated by air moving through the respiratory system.
These sounds, as most biomedical signals, are non-linear and non-stationary. A vital part of …