The coming era of a new auscultation system for analyzing respiratory sounds

Y Kim, YK Hyon, S Lee, SD Woo, T Ha… - BMC Pulmonary …, 2022 - Springer
Auscultation with stethoscope has been an essential tool for diagnosing the patients with
respiratory disease. Although auscultation is non-invasive, rapid, and inexpensive, it has …

Deep learning-based lung sound analysis for intelligent stethoscope

DM Huang, J Huang, K Qiao, NS Zhong, HZ Lu… - Military Medical …, 2023 - Springer
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …

Lungbrn: A smart digital stethoscope for detecting respiratory disease using bi-resnet deep learning algorithm

Y Ma, X Xu, Q Yu, Y Zhang, Y Li… - … Circuits and Systems …, 2019 - ieeexplore.ieee.org
Improving access to health care services for the medically under-served population is vital to
ensure that critical illness can be addressed immediately. In the scenarios where there is a …

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 …

Automatic lung health screening using respiratory sounds

H Mukherjee, P Sreerama, A Dhar… - Journal of Medical …, 2021 - Springer
Significant changes have been made on audio-based technologies over years in several
different fields. Healthcare is no exception. One of such avenues is health screening based …

Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database …

FS Hsu, SR Huang, CW Huang, CJ Huang… - PLoS …, 2021 - journals.plos.org
A reliable, remote, and continuous real-time respiratory sound monitor with automated
respiratory sound analysis ability is urgently required in many clinical scenarios—such as in …

Sprsound: Open-source sjtu paediatric respiratory sound database

Q Zhang, J Zhang, J Yuan, H Huang… - … Circuits and Systems, 2022 - ieeexplore.ieee.org
It has proved that the auscultation of respiratory sound has advantage in early respiratory
diagnosis. Various methods have been raised to perform automatic respiratory sound …

Advances in respiratory monitoring: a comprehensive review of wearable and remote technologies

D Vitazkova, E Foltan, H Kosnacova, M Micjan… - Biosensors, 2024 - mdpi.com
This article explores the importance of wearable and remote technologies in healthcare. The
focus highlights its potential in continuous monitoring, examines the specificity of the issue …

Neonatal heart and lung sound quality assessment for robust heart and breathing rate estimation for telehealth applications

E Grooby, J He, J Kiewsky, D Fattahi… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
With advances in digital stethoscopes, internet of things, signal processing and machine
learning, chest sounds can be easily collected and transmitted to the cloud for remote …

An end-to-end deep learning framework for real-time denoising of heart sounds for cardiac disease detection in unseen noise

SN Ali, SB Shuvo, MIS Al-Manzo, A Hasan… - IEEE Access, 2023 - ieeexplore.ieee.org
The heart sound signals captured via a digital stethoscope are often distorted by
environmental and physiological noise, altering their salient and critical properties. The …