The field of medical acoustics is gaining constantly-increasing attention by the scientific
community, with the the general goal being the automatic understanding of medical related …

Goal: In light of the COVID-19 pandemic, the early diagnosis of respiratory diseases has
become increasingly crucial. Traditional diagnostic methods such as computed tomography …

Analysis of respiratory sounds is an area where deep neural networks (DNNs) may benefit
clinicians and patients for diagnostic purposes due to their classification power. However …

Patients with respiratory conditions typically exhibit adventitious respiratory sounds (ARS),
such as wheezes and crackles. In recent years, computerized methods for analyzing …

The recent pandemic crisis combined with the explosive growth of Artificial Intellignence (AI)
algorithms has highlighted the potential benefits of telemedicine for decentralised, accurate …

Respiratory diseases are the world's third leading cause of mortality. Early detection is
critical in dealing with respiratory diseases, as it improves the effectiveness of intervention …

Respiratory sound classification refers to identifying adventitious sounds from given
recordings automatically. Due to the difficulty of collection and the expensive manual …

This paper proposes a strategy of combining multiple techniques to classify paediatric
respiratory sound (PRS) from the Open-Source SJTU Paediatric Respiratory Sound …

Pediatric respiratory diseases significantly contribute to the global burden of morbidity and
mortality among children. Moreover, the long-term persistence of respiratory diseases from …

With the development of computer-systems that can collect and analyze enormous volumes
of data, the medical profession is establishing several non-invasive tools. This work attempts …