Sprsound: Open-source sjtu paediatric respiratory sound database
Q Zhang, J Zhang, J Yuan, H Huang… - … Circuits and Systems, 2022 - ieeexplore.ieee.org
It has proved that the auscultation of respiratory sound has advantage in early respiratory
diagnosis. Various methods have been raised to perform automatic respiratory sound …
diagnosis. Various methods have been raised to perform automatic respiratory sound …
Grand challenge on respiratory sound classification for sprsound dataset
Q Zhang, J Zhang, J Yuan, H Huang… - … Circuits and Systems …, 2023 - ieeexplore.ieee.org
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 …
an automatic respiratory sounds software to speed up diagnosis and reduce physician …
Improving the resnet-based respiratory sound classification systems with focal loss
J Li, X Wang, X Wang, S Qiao… - 2022 IEEE Biomedical …, 2022 - ieeexplore.ieee.org
Automated respiratory sound classification aims to provide a rapid and reliable diagnosis of
respiratory disease. However, the database used to develop a lung sounds classification …
respiratory disease. However, the database used to develop a lung sounds classification …
Collaborative framework for automatic classification of respiratory sounds
S Ntalampiras - IET Signal Processing, 2020 - Wiley Online Library
There are several diseases (eg asthma, pneumonia etc.) affecting the human respiratory
apparatus altering its airway path substantially, thus characterising its acoustic properties …
apparatus altering its airway path substantially, thus characterising its acoustic properties …
Classify respiratory abnormality in lung sounds using stft and a fine-tuned resnet18 network
Recognizing patterns in lung sounds is crucial to detecting and monitoring respiratory
diseases. Current techniques for analyzing respiratory sounds demand domain experts and …
diseases. Current techniques for analyzing respiratory sounds demand domain experts and …
A machine learning approach to the development and prospective evaluation of a pediatric lung sound classification model
Auscultation, a cost-effective and non-invasive part of physical examination, is essential to
diagnose pediatric respiratory disorders. Electronic stethoscopes allow transmission …
diagnose pediatric respiratory disorders. Electronic stethoscopes allow transmission …
A progressively expanded database for automated lung sound analysis: an update
FS Hsu, SR Huang, CW Huang, YR Cheng, CC Chen… - Applied Sciences, 2022 - mdpi.com
Featured Application Auscultatory lung sound analysis in healthcare. Abstract We previously
established an open-access lung sound database, HF_Lung_V1, and developed deep …
established an open-access lung sound database, HF_Lung_V1, and developed deep …
Multi-time-scale features for accurate respiratory sound classification
Featured Application The automated classification of respiratory sound has gained
increasing attention in recent years and has been the subject of a growing number of …
increasing attention in recent years and has been the subject of a growing number of …
Classification of lung sounds using convolutional neural networks
M Aykanat, Ö Kılıç, B Kurt, S Saryal - EURASIP Journal on Image and …, 2017 - Springer
In the field of medicine, with the introduction of computer systems that can collect and
analyze massive amounts of data, many non-invasive diagnostic methods are being …
analyze massive amounts of data, many non-invasive diagnostic methods are being …
Abnormal respiratory sounds classification using deep CNN through artificial noise addition
Respiratory sound (RS) attributes and their analyses structure a fundamental piece of
pneumonic pathology, and it gives symptomatic data regarding a patient's lung. A couple of …
pneumonic pathology, and it gives symptomatic data regarding a patient's lung. A couple of …