Lung sound auscultation is a simple, inexpensive, and non-invasive method of diagnosing
respiratory diseases. But the experience of each physician may be different, resulting in …

Adventitious cardiopulmonary (lung and heart) sound detection and classification through a
digital stethoscope plays a vital role in early diagnosis and telehealth services. However …

Continuous physiological sound monitoring is crucial for the prevention, diagnosis, and
treatment of various diseases like cardiopulmonary and gastrointestinal conditions …

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

Self-supervised learning (SSL) using masked prediction has made great strides in general-
purpose audio representation. This study proposes Masked Modeling Duo (M2D), an …

Respiratory diseases are among the leading causes of death, with many individuals in a
population frequently affected by various types of pulmonary disorders. Early diagnosis and …

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 …

E-commerce has become an indispensable part of the whole commodity economy with rapid
expansion. A great deal of time is required for customers to search products by manual work …

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