Romero, H.E., Ma, N. orcid.org/0000-0002-4112-3109, Hill, E.A. et al. (1 more author) (2020) 0573 Screening for obstructive sleep apnea at home based on deep learning features derived from respiration sounds. In: Sleep. 34th Annual Meeting of the Associated Professional Sleep Societies - SLEEP 2020, 27-30 Aug 2020, Philadelphia, PA, USA (online conference). Oxford University Press (OUP) , a219-a220.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Associated Professional Sleep Societies (APSS). This is an author-produced version of an abstract subsequently published in Sleep. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number INNOVATE UK (TSB) 26767 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Jun 2020 10:41 |
Last Modified: | 27 May 2021 00:38 |
Status: | Published |
Publisher: | Oxford University Press (OUP) |
Refereed: | Yes |
Identification Number: | 10.1093/sleep/zsaa056.570 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:161507 |