Contactless methods for measuring respiratory rate: A review

C Massaroni, A Nicolo, M Sacchetti… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Recent advances in understanding the importance of respiratory frequency (f R) as a
sensitive marker of a variety of physiopathological stressors are fostering growing interest in …

An open access database for the evaluation of respiratory sound classification algorithms

BM Rocha, D Filos, L Mendes, G Serbes… - Physiological …, 2019 - iopscience.iop.org
Objective: Over the last few decades, there has been significant interest in the automatic
analysis of respiratory sounds. However, currently there are no publicly available large …

Α respiratory sound database for the development of automated classification

BM Rocha, D Filos, L Mendes, I Vogiatzis… - … Medicine Powered by …, 2018 - Springer
The automatic analysis of respiratory sounds has been a field of great research interest
during the last decades. Automated classification of respiratory sounds has the potential to …

Automatic classification of adventitious respiratory sounds: A (un) solved problem?

BM Rocha, D Pessoa, A Marques, P Carvalho… - Sensors, 2020 - mdpi.com
(1) Background: Patients with respiratory conditions typically exhibit adventitious respiratory
sounds (ARS), such as wheezes and crackles. ARS events have variable duration. In this …

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 …

[HTML][HTML] La auscultación pulmonar en el siglo 21

F Bertrand, D Segall, I Sánchez… - Revista chilena de …, 2020 - SciELO Chile
La auscultación pulmonar es parte fundamental del examen físico para el diagnóstico de las
enfermedades respiratorias. La estandarización que ha alcanzado la nomenclatura de los …

[HTML][HTML] BRACETS: Bimodal repository of auscultation coupled with electrical impedance thoracic signals

D Pessoa, BM Rocha, C Strodthoff, M Gomes… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective: Respiratory diseases are among the most significant
causes of morbidity and mortality worldwide, causing substantial strain on society and health …

Deep recurrent neural networks with attention mechanisms for respiratory anomaly classification

C Wall, L Zhang, Y Yu, K Mistry - 2021 International Joint …, 2021 - ieeexplore.ieee.org
In recent years, a variety of deep learning techniques and methods have been adopted to
provide AI solutions to issues within the medical field, with one specific area being audio …

Grand challenge on respiratory sound classification for sprsound dataset

Q Zhang, J Zhang, J Yuan, H Huang… - … Circuits and Systems …, 2023 - ieeexplore.ieee.org
Globally, respiratory diseases are the leading cause of death, making it essential to develop
an automatic respiratory sounds software to speed up diagnosis and reduce physician …