Variational autoencoders for anomaly detection in respiratory sounds

M Cozzatti, F Simonetta, S Ntalampiras - International Conference on …, 2022 - Springer
This paper proposes a weakly-supervised machine learning-based approach aiming at a
tool to alert patients about possible respiratory diseases. Various types of pathologies may …

An MFCC features-driven subject-independent convolution neural network for detection of chronic and non-chronic pulmonary diseases

A Dhavala, A Ahmed, R Periyasamy… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Chest auscultation, recording lung sound, is an essential procedure to diagnose
abnormalities in the respiratory system. Classification of chronic and non-chronic pulmonary …

Patch-level contrastive embedding learning for respiratory sound classification

W Song, J Han - Biomedical Signal Processing and Control, 2023 - Elsevier
Nowadays, due to the difficulty of data acquisition and expensive manual annotation,
respiratory sound classification suffers from limited training samples, which restrains the …

Wheeze and Crackle Discrimination Algorithm in Pneumonia Respiratory Signals

J Seong, BL Ortiz, JW Chong - 2024 IEEE Colombian …, 2024 - ieeexplore.ieee.org
A new pneumonia detection method is proposed to provide both pneumonia detection in
respiratory sound signals and wheeze and crackle discrimination when pneumonia …

On the Performance of Deep Learning Models for Respiratory Sound Classification Trained on Unbalanced Data

C Castorena, FJ Ferri, M Cobos - Iberian Conference on Pattern …, 2022 - Springer
The detection of abnormal breath sounds with a stethoscope is important for diagnosing
respiratory diseases and providing first aid. However, accurate interpretation of breath …

Departament d'Informàtica, Universitat de València, 46100 Burjassot, Spain {carlos. castorena, francesc. ferri, maximo. cobos}@ uv. es

C Castorena - Pattern Recognition and Image Analysis: 10th …, 2022 - books.google.com
The detection of abnormal breath sounds with a stethoscope is important for diagnosing
respiratory diseases and providing first aid. However, accurate interpretation of breath …