Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification

IAPA Crisdayanti, SW Nam, SK Jung… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Goal: In light of the COVID-19 pandemic, the early diagnosis of respiratory diseases has
become increasingly crucial. Traditional diagnostic methods such as computed tomography …

Classification of respiratory conditions using auscultation sound

QT Do, K Lipatov, HY Wang… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Management of respiratory conditions relies on timely diagnosis and institution of
appropriate management. Computerized analysis and classification of breath sounds has a …

Custom-Built Deep Convolutional Neural Network for Breathing Sound Classification to Detect Respiratory Diseases

S Kamepalli, BS Rao, NCS Rao - International Conference on …, 2022 - Springer
In any living being, the respiratory system plays a vital role and is responsible for taking
oxygen required for body organs and blood. It has a substantial impact on global health …

Pulmonary sound analysis with deep learning for efficient respiratory disease categorization

VR Deeven, VN Kumar, YP Sai… - … on Emerging Trends …, 2023 - atlantis-press.com
Lung Disease treatment is crucial in the medical industry since it is the third most prevalent
cause of mortality worldwide. Recently, assistive solutions have greatly benefited from the …

Lightweight skip connections with efficient feature stacking for respiratory sound classification

Y Choi, H Choi, H Lee, S Lee, H Lee - Ieee Access, 2022 - ieeexplore.ieee.org
As the number of deaths from respiratory diseases due to COVID-19 and infectious diseases
increases, early diagnosis is necessary. In general, the diagnosis of diseases is based on …

AusculNET: A Deep Learning framework for Adventitious Lung Sounds Classification

C Papadakis, LMG Rocha, F Catthoor… - 2023 30th IEEE …, 2023 - ieeexplore.ieee.org
Auscultation with a stethoscope is the most conventional means of examining and obtaining
first insights into cardiovascular and pulmonary disorders. Although being noninvasive and …

[HTML][HTML] Respiratory Sound Classification by Applying Deep Neural Network with a Blocking Variable

R Yang, K Lv, Y Huang, M Sun, J Li, J Yang - Applied Sciences, 2023 - mdpi.com
Respiratory diseases are leading causes of death worldwide, and failure to detect diseases
at an early stage can threaten people's lives. Previous research has pointed out that deep …

Multi spectral feature extraction to improve lung sound classification using CNN

D Kumar - 2023 10th International Conference on Signal …, 2023 - ieeexplore.ieee.org
The principal method for screening and diagnosing lung disorders is auscultation of
respiratory sounds. In the medical field, automated auscultation is a new research field that …

[PDF][PDF] Efficiently classifying lung sounds through depthwise separable CNN models with fused STFT and MFCC features. Diagnostics 2021; 11: 732

SY Jun, CH Liao, YS Wu, SM Yuan, CT Sun - 2021 - academia.edu
Lung sounds remain vital in clinical diagnosis as they reveal associations with pulmonary
pathologies. With COVID-19 spreading across the world, it has become more pressing for …

[HTML][HTML] Efficiently classifying lung sounds through depthwise separable CNN models with fused STFT and MFCC features

SY Jung, CH Liao, YS Wu, SM Yuan, CT Sun - Diagnostics, 2021 - mdpi.com
Lung sounds remain vital in clinical diagnosis as they reveal associations with pulmonary
pathologies. With COVID-19 spreading across the world, it has become more pressing for …