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 …
Lung anomaly detection from respiratory sound database (sound signals)
JA Dar, KK Srivastava, A Mishra - Computers in Biology and Medicine, 2023 - Elsevier
Chest or upper body auscultation has long been considered a useful part of the physical
examination going back to the time of Hippocrates. However, it did not become a prevalent …
examination going back to the time of Hippocrates. However, it did not become a prevalent …
Lung sound signal denoising using discrete wavelet transform and artificial neural network
Abstract Computerized analysis of Lung Sound (LS) is a promising method for assessing
pulmonary function. However, the LS signal is severely contaminated by background noise …
pulmonary function. However, the LS signal is severely contaminated by background noise …
Spectral features and optimal hierarchical attention networks for pulmonary abnormality detection from the respiratory sound signals
The most important concern in the medical field is to consider the analysis of data and
perform accurate diagnosis. However, the analysis of pulmonary abnormalities may depend …
perform accurate diagnosis. However, the analysis of pulmonary abnormalities may depend …
Detection of respiratory sounds based on wavelet coefficients and machine learning
F Meng, Y Shi, N Wang, M Cai, Z Luo - IEEE Access, 2020 - ieeexplore.ieee.org
Respiratory sounds reveal important information of the lungs of patients. However, the
analysis of lung sounds depends significantly on the medical skills and diagnostic …
analysis of lung sounds depends significantly on the medical skills and diagnostic …
[HTML][HTML] A kind of integrated serial algorithms for noise reduction and characteristics expanding in respiratory sound
F Meng, Y Wang, Y Shi, H Zhao - International journal of biological …, 2019 - ncbi.nlm.nih.gov
The computer‑based lung respiratory sound analysis, which can provide more information
about the condition of lung station, has achieved a great development in recent years …
about the condition of lung station, has achieved a great development in recent years …
On the blind recovery of cardiac and respiratory sounds
G Shah, P Koch, CB Papadias - IEEE journal of biomedical and …, 2014 - ieeexplore.ieee.org
We present a method for smart auscultation by proposing a novel blind recovery of the
original cardiac and respiratory sounds from a single observation mixture, in the framework …
original cardiac and respiratory sounds from a single observation mixture, in the framework …
Fr-WCSO-DRN: fractional water cycle swarm optimizer-based deep residual network for pulmonary abnormality detection from respiratory sound signals
Respiratory sounds disclose significant information regarding the lungs of patients.
Numerous methods are developed for analyzing the lung sounds. However, clinical …
Numerous methods are developed for analyzing the lung sounds. However, clinical …
Frequency response analysis of respiratory sounds and comparative study for windowing techniques
H Kamble, GS Phadke - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Respiratory diseases are common and can be potentially deadly. These diseases can be
diagnosed by using Stethescope. This auscultation process is most commonly used by the …
diagnosed by using Stethescope. This auscultation process is most commonly used by the …