[HTML][HTML] A study of using cough sounds and deep neural networks for the early detection of COVID-19

R Islam, E Abdel-Raheem, M Tarique - Biomedical Engineering Advances, 2022 - Elsevier
The current clinical diagnosis of COVID-19 requires person-to-person contact, needs
variable time to produce results, and is expensive. It is even inaccessible to the general …

Audio, speech, language, & signal processing for covid-19: A comprehensive overview

G Deshpande, BW Schuller - arXiv preprint arXiv:2011.14445, 2020 - arxiv.org
The Coronavirus (COVID-19) pandemic has been the research focus world-wide in the year
2020. Several efforts, from collection of COVID-19 patients' data to screening them for the …

Listen2cough: Leveraging end-to-end deep learning cough detection model to enhance lung health assessment using passively sensed audio

X Xu, E Nemati, K Vatanparvar, V Nathan… - Proceedings of the …, 2021 - dl.acm.org
The prevalence of ubiquitous computing enables new opportunities for lung health
monitoring and assessment. In the past few years, there have been extensive studies on …

BreathTrack: detecting regular breathing phases from unannotated acoustic data captured by a smartphone

B Islam, MM Rahman, T Ahmed, MY Ahmed… - Proceedings of the …, 2021 - dl.acm.org
Breathing biomarkers, such as breathing rate, fractional inspiratory time, and inhalation-
exhalation ratio, are vital for monitoring the user's health and well-being. Accurate estimation …

[HTML][HTML] Exploring explainable AI features in the vocal biomarkers of lung disease

Z Chen, N Liang, H Li, H Zhang, H Li, L Yan… - Computers in Biology …, 2024 - Elsevier
This review delves into the burgeoning field of explainable artificial intelligence (XAI) in the
detection and analysis of lung diseases through vocal biomarkers. Lung diseases, often …

Distinguishing between pre-and post-treatment in the speech of patients with chronic obstructive pulmonary disease

A Triantafyllopoulos, M Fendler, A Batliner… - arXiv preprint arXiv …, 2022 - arxiv.org
Chronic obstructive pulmonary disease (COPD) causes lung inflammation and airflow
blockage leading to a variety of respiratory symptoms; it is also a leading cause of death and …

Robust vocal quality feature embeddings for dysphonic voice detection

J Zhang, J Liss, S Jayasuriya… - IEEE/ACM transactions …, 2023 - ieeexplore.ieee.org
Approximately 1.2% of the world's population has impaired voice production. As a result,
automatic dysphonic voice detection has attracted considerable academic and clinical …

Towards passive assessment of pulmonary function from natural speech recorded using a mobile phone

K San Chun, V Nathan, K Vatanparvar… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Chronic obstructive pulmonary disease (COPD) and asthma are the most common
respiratory diseases that impact millions of people worldwide annually. With advances in …

CoughMatch–subject verification using cough for personal passive health monitoring

K Vatanparvar, E Nemati, V Nathan… - 2020 42nd Annual …, 2020 - ieeexplore.ieee.org
Automatic cough detection using audio has advanced passive health monitoring on devices
such as smart phones and wearables; it enables capturing longitudinal health data by …

Speech-based support system to supervise chronic obstructive pulmonary disease patient status

M Farrús, J Codina-Filbà, E Reixach, E Andrés… - Applied Sciences, 2021 - mdpi.com
Featured Application This work represents a proof of concept for COPD patient supervision,
which can lead to a potential application related to home monitoring for clinicians working …