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 …
A multi-center clinical trial for wireless stethoscope-based diagnosis and prognosis of children community-acquired pneumonia
Community-Acquired Pneumonia (CAP) is a significant cause of child mortality globally, due
to the lack of ubiquitous monitoring methods. Clinically, the wireless stethoscope can be a …
to the lack of ubiquitous monitoring methods. Clinically, the wireless stethoscope can be a …
Open-set lung sound recognition model based on conditional Gaussian capsule network and variational time–frequency feature reconstruction
Y Zhang, J Zhang, L Shi - Biomedical Signal Processing and Control, 2024 - Elsevier
Lung sound auscultation is an essential method for diagnosing lung diseases; however,
most existing lung sound recognition methods fail to identify classes that are unknown in …
most existing lung sound recognition methods fail to identify classes that are unknown in …
Compressed sensing data with performing audio signal reconstruction for the intelligent classification of chronic respiratory diseases
Chronic obstructive pulmonary disease (COPD) concerns the serious decline of human lung
functions. These have emerged as one of the most concerning health conditions over the …
functions. These have emerged as one of the most concerning health conditions over the …
Adaptation of Pre-trained Deep Neural Networks for Sound Event Detection Facilitating Smart Homecare
MD Shin - 2023 - trepo.tuni.fi
As foreseen by numerous researchers, the worldwide demographic changes of the elderly
population in 2050 will be expected to grow by over 30% in the global population, which has …
population in 2050 will be expected to grow by over 30% in the global population, which has …
An adaptive method for classification of noisy respiratory sounds
K Nguyen-Trong - … on Information and Computer Science (NICS …, 2021 - ieeexplore.ieee.org
Respiratory sounds (RSs) contain essential information about the physiology and pathology
of lungs and airways obstruction. Therefore, RS understanding has a critical role in …
of lungs and airways obstruction. Therefore, RS understanding has a critical role in …
Breathalytics: Deep Learning-Based Prediction of Abnormality in Respiratory Sounds using Continuous Wavelet Transform
RA Laasya, M Muthulakshmi - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Analyzing respiratory sounds is vital for diagnosing respiratory conditions, requiring
evaluation across time and frequency domains. When diagnosing respiratory disorders …
evaluation across time and frequency domains. When diagnosing respiratory disorders …