0573 Screening for obstructive sleep apnea at home based on deep learning features derived from respiration sounds

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.

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Item Type: Proceedings Paper
Authors/Creators:
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:
  • Published (online): 27 May 2020
  • Published: 27 May 2020
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):

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