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 …

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 …

Cough detection using deep neural networks

JM Liu, M You, Z Wang, GZ Li, X Xu… - 2014 IEEE international …, 2014 - ieeexplore.ieee.org
Cough detection and assessment have crucial clinical value for respiratory diseases.
Subjective assessments are widely adopted in clinical measurement nowadays, but they are …

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 …

Deep neural networks for identifying cough sounds

J Amoh, K Odame - IEEE transactions on biomedical circuits …, 2016 - ieeexplore.ieee.org
In this paper, we consider two different approaches of using deep neural networks for cough
detection. The cough detection task is cast as a visual recognition problem and as a …

Automatic non-invasive cough detection based on accelerometer and audio signals

M Pahar, I Miranda, A Diacon, T Niesler - Journal of Signal Processing …, 2022 - Springer
We present an automatic non-invasive way of detecting cough events based on both
accelerometer and audio signals. The acceleration signals are captured by a smartphone …

[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 …

Automatic cough detection from realistic audio recordings using C-BiLSTM with boundary regression

M You, W Wang, Y Li, J Liu, X Xu, Z Qiu - Biomedical Signal Processing …, 2022 - Elsevier
Automatic cough detection in the patients' realistic audio recordings is of great significance
to diagnose and monitor respiratory diseases, such as COVID-19. Many detection methods …

A universal system for cough detection in domestic acoustic environments

N Simou, N Stefanakis, P Zervas - 2020 28th European signal …, 2021 - ieeexplore.ieee.org
Automated cough detection may provide valuable clinical information for monitoring a
patient's health condition. In this paper, we present a cough detection system that utilises an …

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 …