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
Event2012 Annual International Conference of the IEEEEngineering in Medicine and Biology Society - San Diego, CA, United States
Duration: 28 Aug 20121 Sep 2012
Conference number: 2012 EMBC

Conference

Conference2012 Annual International Conference of the IEEEEngineering in Medicine and Biology Society
Number2012 EMBC
Country/TerritoryUnited States
CitySan Diego, CA
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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