Detection of K-complexes based on the wavelet transform

Laerke K Krohne, Rie B Hansen, Julie A E Christensen, Helge B D Sorensen, Poul Jennum

    9 Citations (Scopus)

    Abstract

    Sleep scoring needs computational assistance to reduce execution time and to assure high quality. In this pilot study a semi-automatic K-Complex detection algorithm was developed using wavelet transformation to identify pseudo-K-Complexes and various feature thresholds to reject false positives. The algorithm was trained and tested on sleep EEG from two databases to enhance its general applicability.

    Original languageEnglish
    JournalI E E E Engineering in Medicine and Biology Society. Conference Proceedings
    Volume2014
    Pages (from-to)5450-5453
    Number of pages4
    ISSN2375-7477
    DOIs
    Publication statusPublished - 2 Nov 2014

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