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
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
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 …
Machine learning for automated classification of abnormal lung sounds obtained from public databases: a systematic review
Pulmonary auscultation is essential for detecting abnormal lung sounds during physical
assessments, but its reliability depends on the operator. Machine learning (ML) models offer …
assessments, but its reliability depends on the operator. Machine learning (ML) models offer …
Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database …
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 …
Patch-mix contrastive learning with audio spectrogram transformer on respiratory sound classification
Respiratory sound contains crucial information for the early diagnosis of fatal lung diseases.
Since the COVID-19 pandemic, there has been a growing interest in contact-free medical …
Since the COVID-19 pandemic, there has been a growing interest in contact-free medical …
[HTML][HTML] Cochleogram-based adventitious sounds classification using convolutional neural networks
Abstract Background: The World Health Organization (WHO) establishes as a top priority the
early detection of respiratory diseases. This detection could be performed by means of …
early detection of respiratory diseases. This detection could be performed by means of …
A domain transfer based data augmentation method for automated respiratory classification
Automated auscultation has become a hot topic in the medical field for diagnostic and
predictive analytic. Automated auscultation aims to improve the classification of respiratory …
predictive analytic. Automated auscultation aims to improve the classification of respiratory …
Conditional GAN based augmentation for predictive modeling of respiratory signals
Respiratory illness is the primary cause of mortality and impairment in the life span of an
individual in the current COVID–19 pandemic scenario. The inability to inhale and exhale is …
individual in the current COVID–19 pandemic scenario. The inability to inhale and exhale is …
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 …