Can machine learning assist locating the excitation of snore sound? a review

Download full text files

  • 86893.pdfeng
    (931KB)

    Postprint. © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Kun Qian, Christoph Janott, Maximilian SchmittORCiD, Zixing Zhang, Clemens Heiser, Werner Hemmert, Yoshiharu Yamamoto, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-868936
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/86893
ISSN:2168-2194OPAC
ISSN:2168-2208OPAC
Parent Title (English):IEEE Journal of Biomedical and Health Informatics
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Type:Article
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2021/05/17
Tag:Biotechnology; Electrical and Electronic Engineering; Health Information Management; Computer Science Applications
Volume:25
Issue:4
First Page:1233
Last Page:1246
DOI:https://doi.org/10.1109/jbhi.2020.3012666
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht

OPUS4 Logo