Deep neural network-based respiratory pathology classification using cough sounds

BT Balamurali, HI Hee, S Kapoor, OH Teoh, SS Teng… - Sensors, 2021 - mdpi.com
Intelligent systems are transforming the world, as well as our healthcare system. We propose
a deep learning-based cough sound classification model that can distinguish between …

Productive and non-productive cough classification using biologically inspired techniques

RV Sharan - IEEE Access, 2022 - ieeexplore.ieee.org
Cough is a common symptom of respiratory diseases and the type of cough, in particular,
productive (wet) or non-productive (dry) cough, is an important indicator of the condition of …

Can machine learning be used to recognize and diagnose coughs?

C Bales, M Nabeel, CN John, U Masood… - … Conference on e …, 2020 - ieeexplore.ieee.org
Emerging wireless technologies, such as 5G and beyond, are bringing new use cases to the
forefront, one of the most prominent being machine learning empowered health care. One of …

[HTML][HTML] Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey

A Ijaz, M Nabeel, U Masood, T Mahmood… - Informatics in Medicine …, 2022 - Elsevier
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …

Classification of cough sounds using spectrogram methods and a parallel-stream one-dimensional deep convolutional neural network

YP Huang, R Mushi - IEEE Access, 2022 - ieeexplore.ieee.org
Currently, a subjective method is used to diagnose cough sounds, particularly wet and dry
coughs, which can lead to incorrect diagnoses. In this study, novel emergent features were …

Towards cough sound analysis using the internet of things and deep learning for pulmonary disease prediction

A Kumar, K Abhishek, MR Ghalib… - Transactions on …, 2022 - Wiley Online Library
Cough is a symptom in over a hundred respiratory diseases. The audio features in cough
signals contain erudition about the predicament of the respiratory system. Using deep …

Pediatric Respiratory Sound Classification Using a Dual Input Deep Learning Architecture

D Pessoa, G Petmezas… - … Circuits and Systems …, 2023 - ieeexplore.ieee.org
Patients with respiratory conditions typically exhibit adventitious respiratory sounds (ARS),
such as wheezes and crackles. In recent years, computerized methods for analyzing …

[HTML][HTML] Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: a systematic review

RV Sharan, H Rahimi-Ardabili - International Journal of Medical Informatics, 2023 - Elsevier
Background Acute respiratory diseases are a leading cause of morbidity and mortality in
children. Cough is a common symptom of acute respiratory diseases and the sound of …

Cough event classification by pretrained deep neural network

JM Liu, M You, Z Wang, GZ Li, X Xu, Z Qiu - BMC medical informatics and …, 2015 - Springer
Background Cough is an essential symptom in respiratory diseases. In the measurement of
cough severity, an accurate and objective cough monitor is expected by respiratory disease …

Development of machine learning for asthmatic and healthy voluntary cough sounds: a proof of concept study

HI Hee, BT Balamurali, A Karunakaran, D Herremans… - Applied Sciences, 2019 - mdpi.com
(1) Background: Cough is a major presentation in childhood asthma. Here, we aim to
develop a machine-learning based cough sound classifier for asthmatic and healthy …