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

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 …

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

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

Lung auscultation is essential for early lung condition detection. Categorizing adventitious
lung sounds requires expert discrimination by medical specialists. This paper details the …

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

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 …

Automated analysis of lung sounds is a non-invasive technique that has the potential to
become a powerful tool for the detection of respiratory illnesses. In this paper, we propose a …