[HTML][HTML] Deep learning-based lung sound analysis for intelligent stethoscope
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
A contrastive embedding-based domain adaptation method for lung sound recognition in children community-acquired pneumonia
Lung sound analysis has been used for assessing the lung conditions of children with
community-acquired pneumonia (CAP). However, the inconsistent data distribution, caused …
community-acquired pneumonia (CAP). However, the inconsistent data distribution, caused …
Camera-Based Respiratory Imaging for Intelligent Rehabilitation Assessment of Thoracic Surgery Patients
D Huang, X Tao, Y Huang, Y Wang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Camera-based respiration monitoring is currently focused on the continuous measurement
of respiratory rate, overlooking its potential in lung health assessment. Inspired by …
of respiratory rate, overlooking its potential in lung health assessment. Inspired by …
Intelligent Stethoscope using Full Self-Attention Mechanism for Abnormal Respiratory Sound Recognition
Machine learning automates the recognition of abnormal respiratory sounds and pulmonary
diseases for wireless stethoscopes. However, most learning-based methods have …
diseases for wireless stethoscopes. However, most learning-based methods have …
Design and Development of Digital Stethoscope
S Ashwini, R Indhumathi… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
This research explores the fusion of cardiac auscultation and phonocardiography (PCG) to
enhance cardiac acoustic analysis. Traditional stethoscopes face limitations, including the …
enhance cardiac acoustic analysis. Traditional stethoscopes face limitations, including the …