COVID-19 detection from audio: seven grains of salt-Reference-Cited by-同舟云学术

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COVID-19 detection from audio: seven grains of salt

Published:2021-09 Issue:9 Volume:3 Page:e537-e538
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Coppock Harry,Jones Lyn,Kiskin Ivan,Schuller Björn

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference10 articles.

1. A framework for biomarkers of COVID-19 based on coordination of speech-production subsystems;Quatieri;IEEE Open Journal of Engineering in Medicine and Biology,2020

2. Exploring automatic diagnosis of COVID-19 from crowdsourced respiratory sound data;Brown;Proc Data Min Knowl Discov,2020

3. COVID-19 artificial intelligence diagnosis using only cough recordings;Laguarta;IEEE Open Journal of Engineering in Medicine and Biology,2020

4. End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study;Coppock;BMJ Innov,2021

5. AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app;Imran;Inform Med Unlocked,2020

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spectral-temporal saliency masks and modulation tensorgrams for generalizable COVID-19 detection;Computer Speech & Language;2024-02

2. Introducing the COVID-19 YouTube (COVYT) speech dataset featuring the same speakers with and without infection;Biomedical Signal Processing and Control;2024-02

3. Ecology & computer audition: Applications of audio technology to monitor organisms and environment;Heliyon;2024-01

4. Editorial: Human-centred computer audition: sound, music, and healthcare;Frontiers in Digital Health;2023-12-12

5. RApid Throughput Screening for Asymptomatic COVID-19 Infection With an Electrocardiogram: A Prospective Observational Study;Mayo Clinic Proceedings: Digital Health;2023-12

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