Sleep-disordered breathing (SDB) is a serious and prevalent condition, and acoustic
analysis via consumer devices (eg smartphones) offers a low-cost solution to screening for …

MOTIVATION: Respiratory disease is among the leading causes of death in the world. Most
of these deaths occur in poorer countries where pollution is more prominent and medical …

Lung auscultation has long been used as a valuable medical tool to assess respiratory
health and has gotten a lot of attention in recent years, notably following the coronavirus …

We applied deep learning to create an algorithm for breathing phase detection in lung
sound recordings, and we compared the breathing phases detected by the algorithm and …

There are several diseases (eg asthma, pneumonia etc.) affecting the human respiratory
apparatus altering its airway path substantially, thus characterising its acoustic properties …

The sound of cough is an important indicator of the condition of the respiratory system.
Automatic cough sound evaluation can aid the diagnosis of respiratory diseases. Large …

Abstract In Machine Learning, new architectures are continually proposed, making difficult to
evaluate which configurations better fit specific fields and tasks. The most reliable way to …

Breathing biomarkers, such as breathing rate, fractional inspiratory time, and inhalation-
exhalation ratio, are vital for monitoring the user's health and well-being. Accurate estimation …

Large annotated lung sound databases are publicly available and might be used to train
algorithms for diagnosis systems. However, it might be a challenge to develop a well …

Respiratory diseases represent a significant global burden, necessitating efficient diagnostic
methods for timely intervention. Digital biomarkers based on audio, acoustics, and sound …