Pay attention to the cough: Early diagnosis of COVID-19 using interpretable symptoms embeddings with cough sound signal processing

A Pal, M Sankarasubbu - Proceedings of the 36th Annual ACM …, 2021 - dl.acm.org
COVID-19 (coronavirus disease 2019) pandemic caused by SARS-CoV-2 has led to a
treacherous and devastating catastrophe for humanity. No specific antivirus drugs or …

Lung sound recognition algorithm based on vggish-bigru

L Shi, K Du, C Zhang, H Ma, W Yan - IEEE Access, 2019 - ieeexplore.ieee.org
Pulmonary breathing sound plays a key role in the prevention and diagnosis of the lung
diseases. Its correlation with pathology and physiology has become an important research …

Feature extraction for machine learning based crackle detection in lung sounds from a health survey

M Grønnesby, JCA Solis, E Holsbø, H Melbye… - arXiv preprint arXiv …, 2017 - arxiv.org
In recent years, many innovative solutions for recording and viewing sounds from a
stethoscope have become available. However, to fully utilize such devices, there is a need …

Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds

L Wu, L Li - 2020 42nd Annual International Conference of the …, 2020 - ieeexplore.ieee.org
Respiratory condition has received a great amount of attention nowadays since respiratory
diseases recently become the globally leading causes of death. Traditionally, stethoscope is …

A telemedicine tool to detect pulmonary pathology using computerized pulmonary acoustic signal analysis

R Palaniappan, K Sundaraj, S Sundaraj, N Huliraj… - Applied Soft …, 2015 - Elsevier
Background Detection and monitoring of respiratory related illness is an important aspect in
pulmonary medicine. Acoustic signals extracted from the human body are considered in …

Automated Diagnosis of Pulmonary Diseases Using Lung Sound Signals

U Hassan, A Singhal - IETE Journal of Research, 2023 - Taylor & Francis
Pulmonary diseases are the third biggest cause of deaths worldwide. A prominent method to
detect these diseases is the observation of lung sound signals. There is an increasing need …

Wheeze Events Detection Using Convolutional Recurrent Neural Network

L Hakki, G Serbes - 2023 Innovations in Intelligent Systems …, 2023 - ieeexplore.ieee.org
Chronic respiratory disorders (CRDs) affect the airways and other structures in the lungs.
According to WHO, CRDs are a major cause of death globally. Early diagnosis and …

Generating Synthetic Sperm Whale Voice Data Using StyleGAN2-ADA

E Kopets, T Shpilevaya, O Vasilchenko… - Big Data and Cognitive …, 2024 - mdpi.com
The application of deep learning neural networks enables the processing of extensive
volumes of data and often requires dense datasets. In certain domains, researchers …

[PDF][PDF] Classification of Normal and Crackles Respiratory Sounds into Healthy and Lung Cancer Groups.

NA Malik, W Idris, TS Gunawan… - International Journal of …, 2018 - academia.edu
Lung cancer is the most common cancer worldwide and the third most common cancer in
Malaysia. Due to its high prevalence worldwide and in Malaysia, it is an utmost importance …

Deep lung auscultation using acoustic biomarkers for abnormal respiratory sound event detection

U Tiwari, S Bhosale, R Chakraborty… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
Lung Auscultation is a non-invasive process of distinguishing normal respiratory sounds
from abnormal ones by analyzing the airflow along the respiratory tract. With developments …