Globally, respiratory diseases are the leading cause of death, making it essential to develop
an automatic respiratory sounds software to speed up diagnosis and reduce physician …

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

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 …

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

This paper presents a supervised contrastive learning (SCL) framework for respiratory
sound classification and the hardware implementation of learned ResNet on field …

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

Identifying lung sound signal patterns is essential for detecting and monitoring respiratory
diseases. Existing approaches for analyzing respiratory sounds need domain specialists …

Respiratory diseases pose a massive threat to human health, thus early diagnosis and
treatment are essential. Although electronic stethoscopes have shown effectiveness in …

Lung sounds contain important clinical information which can be used for identifying
respiratory and/or lung disorders. Manual identification of respiratory events is time …

This study presents a novel methodology utilizing a pre-trained speech recognition model
for processing respiratory sound data. By incorporating medical record information, we …