Audio signal analysis in combination with noncontact bio-motion data to successfully monitor snoring

Flanagan, D., Arvaneh, M. and Zaffaroni, A. (2014) Audio signal analysis in combination with noncontact bio-motion data to successfully monitor snoring. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. EMBC , 26 - 30th Aug 2014, Chicago, USA. IEEE , pp. 3763-3766.

Abstract

Metadata

Authors/Creators:
  • Flanagan, D.
  • Arvaneh, M.
  • Zaffaroni, A.
Copyright, Publisher and Additional Information: © 2014 IEEE. This is an author produced version of a paper subsequently published in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Algorithms; Humans; Monitoring, Physiologic; Movement; Sleep; Snoring
Dates:
  • Published: August 2014
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 15 Aug 2016 08:52
Last Modified: 03 Nov 2016 03:44
Published Version: http://dx.doi.org/10.1109/EMBC.2014.6944442
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/EMBC.2014.6944442
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