Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues
Auscultation plays an important role in the clinic, and the research community has been
exploring machine learning (ML) to enable remote and automatic auscultation for respiratory …
exploring machine learning (ML) to enable remote and automatic auscultation for respiratory …
Automated lung sound classification using a hybrid CNN-LSTM network and focal loss function
Respiratory diseases constitute one of the leading causes of death worldwide and directly
affect the patient's quality of life. Early diagnosis and patient monitoring, which …
affect the patient's quality of life. Early diagnosis and patient monitoring, which …
Acoustic-based deep learning architectures for lung disease diagnosis: A comprehensive overview
AH Sfayyih, AH Sabry, SM Jameel, N Sulaiman… - Diagnostics, 2023 - mdpi.com
Lung auscultation has long been used as a valuable medical tool to assess respiratory
health and has gotten a lot of attention in recent years, notably following the coronavirus …
health and has gotten a lot of attention in recent years, notably following the coronavirus …
Lung sound classification using co-tuning and stochastic normalization
T Nguyen, F Pernkopf - IEEE Transactions on Biomedical …, 2022 - ieeexplore.ieee.org
Computational methods for lung sound analysis are beneficial for computer-aided diagnosis
support, storage and monitoring in critical care. In this paper, we use pre-trained ResNet …
support, storage and monitoring in critical care. In this paper, we use pre-trained ResNet …
Respirenet: A deep neural network for accurately detecting abnormal lung sounds in limited data setting
Auscultation of respiratory sounds is the primary tool for screening and diagnosing lung
diseases. Automated analysis, coupled with digital stethoscopes, can play a crucial role in …
diseases. Automated analysis, coupled with digital stethoscopes, can play a crucial role in …
Interpretation of lung disease classification with light attention connected module
Y Choi, H Lee - Biomedical Signal Processing and Control, 2023 - Elsevier
Lung diseases lead to complications from obstructive diseases, and the COVID-19
pandemic has increased lung disease-related deaths. Medical practitioners use …
pandemic has increased lung disease-related deaths. Medical practitioners use …
Automatic lung health screening using respiratory sounds
H Mukherjee, P Sreerama, A Dhar… - Journal of Medical …, 2021 - Springer
Significant changes have been made on audio-based technologies over years in several
different fields. Healthcare is no exception. One of such avenues is health screening based …
different fields. Healthcare is no exception. One of such avenues is health screening based …
Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database …
FS Hsu, SR Huang, CW Huang, CJ Huang… - PLoS …, 2021 - journals.plos.org
A reliable, remote, and continuous real-time respiratory sound monitor with automated
respiratory sound analysis ability is urgently required in many clinical scenarios—such as in …
respiratory sound analysis ability is urgently required in many clinical scenarios—such as in …
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 …
Incorporating support vector machine to the classification of respiratory sounds by Convolutional Neural Network
F Cinyol, U Baysal, D Köksal, E Babaoğlu… - … Signal Processing and …, 2023 - Elsevier
Classification of respiratory sounds (RS) by artificial intelligence (AI) methods has been
studied by many groups, and a preferred method belonging to Deep Neural Networks (DNN) …
studied by many groups, and a preferred method belonging to Deep Neural Networks (DNN) …