Wake-Cough: cough spotting and cougher identification for personalised long-term cough monitoring

Pahar, M. orcid.org/0000-0002-5926-0144, Klopper, M., Reeve, B. et al. (4 more authors) (2022) Wake-Cough: cough spotting and cougher identification for personalised long-term cough monitoring. In: 2022 30th European Signal Processing Conference (EUSIPCO) Proceedings. 2022 30th European Signal Processing Conference (EUSIPCO), 29 Aug - 02 Sep 2022, Belgrade, Serbia. Institute of Electrical and Electronics Engineers (IEEE) , pp. 185-189. ISBN 9781665467995

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Item Type: Proceedings Paper
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© 2022 European Association for Signal Processing (EURASIP). Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.

Keywords: COVID-19; Tuberculosis; Lung; Signal processing; Feature extraction; Internet; Noise measurement
Dates:
  • Published: 18 October 2022
  • Published (online): 18 October 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 Jan 2025 11:02
Last Modified: 17 Jan 2025 11:06
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.23919/EUSIPCO55093.2022.9909522
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