The COVID-19 outbreak has led to a rise in respiratory disease-related deaths, including
Chronic Obstructive Pulmonary Disease (COPD). Early diagnosis of COPD is crucial, but it …

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 …

Magnetic anomaly signals are composed of anomaly signal and the geomagnetic field. Due
to the similarity in magnitude between these two types of signals and the difficulty 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 …