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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 deep learning approach to detect Covid-19 coronavirus with X-Ray images
Rapid and accurate detection of COVID-19 coronavirus is necessity of time to prevent and
control of this pandemic by timely quarantine and medical treatment in absence of any …
control of this pandemic by timely quarantine and medical treatment in absence of any …
Respiratory diseases diagnosis using audio analysis and artificial intelligence: a systematic review
Respiratory diseases represent a significant global burden, necessitating efficient diagnostic
methods for timely intervention. Digital biomarkers based on audio, acoustics, and sound …
methods for timely intervention. Digital biomarkers based on audio, acoustics, and sound …
Automatic identification of respiratory diseases from stethoscopic lung sound signals using ensemble classifiers
This paper investigates the application of different homogeneous ensemble learning
methods to perform multi-class classification of respiratory diseases. The case sample …
methods to perform multi-class classification of respiratory diseases. The case sample …
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 …
A CAD system for Alzheimer's disease classification using neuroimaging MRI 2D slices
Developments in medical care have inspired wide interest in the current decade, especially
to their services to individuals living prolonged and healthier lives. Alzheimer's disease (AD) …
to their services to individuals living prolonged and healthier lives. Alzheimer's disease (AD) …
Real-time machine learning for air quality and environmental noise detection
In metropolitan cities, outdoor air pollution and ambient outdoor noise transmission are
significant environmental hazards, degrading indoor environmental quality. Natural …
significant environmental hazards, degrading indoor environmental quality. Natural …
Explainable CNN with fuzzy tree regularization for respiratory sound analysis
J Li, C Wang, J Chen, H Zhang, Y Dai… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
Auscultation is an important tool for diagnosing respiratory-related diseases. Unfortunately,
the quality of auscultation is limited by the professional level of the doctor and the …
the quality of auscultation is limited by the professional level of the doctor and the …
Tunable Q-factor wavelet transform based lung signal decomposition and statistical feature extraction for effective lung disease classification
The auscultation is a non-invasive and cost-effective method used for the diagnosis of lung
diseases, which are one of the leading causes of death worldwide. However, the efficacy of …
diseases, which are one of the leading causes of death worldwide. However, the efficacy of …
[HTML][HTML] 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 …