Automatic detection of REM sleep in subjects without atonia

Jacob Kempfner, Poul Jennum, Miki Nikolic, Julie A. E. Christensen, Helge B. D. Sorensen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Idiopathic Rapid-Rye-Movement (REM) sleep Behavior Disorder (iRBD) is a strong early marker of Parkinson's Disease and is characterized by REM sleep without atonia (RSWA) and increased phasic muscle activity. Current proposed methods for detecting RSWA assume the presence of a manually scored hypnogram. In this study a full automatic REM sleep detector, using the EOG and EEG channels, is proposed. Based on statistical features, combined with subject specific feature scaling and post-processing of the classifier output, it was possible to obtain an mean accuracy of 0.96 with a mean sensititvity and specificity of 0.94 and 0.96 respectively.
    Original languageEnglish
    Title of host publicationIEEE Engineering in medicine and biology society conference proceedings
    PublisherIEEE
    Publication date2012
    Pages4242 - 4245
    ISBN (Print)978-1-4244-4119-8
    DOIs
    Publication statusPublished - 2012
    Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Hilton Bayfront Hotel, San Diego, United States
    Duration: 28 Aug 20121 Sep 2012
    Conference number: 34

    Conference

    Conference34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Number34
    LocationHilton Bayfront Hotel
    Country/TerritoryUnited States
    CitySan Diego
    Period28/08/201201/09/2012

    Keywords

    • Bioengineering
    • Communication, Networking & Broadcasting
    • Components, Circuits, Devices & Systems
    • Computing & Processing (Hardware/Software)
    • Signal Processing & Analysis

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