Automatic detection of REM sleep in subjects without atonia

Jacob Kempfner, Poul Jennum, Miki Nikolic, Gitte Julie Christensen, Helge B D Sorensen

    4 Citationer (Scopus)

    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.
    OriginalsprogEngelsk
    TidsskriftI E E E Engineering in Medicine and Biology Society. Conference Proceedings
    Vol/bind2012
    Sider (fra-til)4242-5
    Antal sider4
    ISSN2375-7477
    DOI
    StatusUdgivet - 2012

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