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Validation of a novel automatic sleep spindle detector with high performance during sleep in middle aged subjects

  • Sabrina Lyngbye Wendt
  • , Julie A. E. Christensen
  • , Jacob Kempfner
  • , Helle L. Leonthin
  • , Poul Jennum
  • , Helge B. D. Sorensen
    • University of Copenhagen
    • Copenhagen University Hospital Herlev and Gentofte

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

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    Abstract

    Many of the automatic sleep spindle detectors currently used to analyze sleep EEG are either validated on young subjects or not validated thoroughly. The purpose of this study is to develop and validate a fast and reliable sleep spindle detector with high performance in middle aged subjects. An automatic sleep spindle detector using a bandpass filtering approach and a time varying threshold was developed. The validation was done on sleep epochs from EEG recordings with manually scored sleep spindles from 13 healthy subjects with a mean age of 57.9 ± 9.7 years. The sleep spindle detector reached a mean sensitivity of 84.6 % and a mean specificity of 95.3 %. The sleep spindle detector can be used to obtain measures of spindle count and density together with quantitative measures such as the mean spindle frequency, mean spindle amplitude, and mean spindle duration.
    Original languageEnglish
    Title of host publicationIEEE Engineering in medicine and biology society conference proceedings
    PublisherIEEE
    Publication date2012
    Pages4250 - 4253
    ISBN (Print)9781424441198
    DOIs
    Publication statusPublished - 2012
    Event34th Annual International Conference of the IEEE EMBS - San Diego, California, United States
    Duration: 28 Aug 20121 Sept 2012

    Conference

    Conference34th Annual International Conference of the IEEE EMBS
    Country/TerritoryUnited States
    CitySan Diego, California
    Period28/08/201201/09/2012

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