• DocumentCode
    3635835
  • Title

    Investigation of sleep stages identification with time-scale based parameters

  • Author

    Baycan Ak?ay;Mehmet Engin;Erkan Zeki Engin;Seyhan ?o?kun;G?ng?r Polat

  • Author_Institution
    Elektrik ve Elektronik M?hendisligi B?l?m?, Ege ?niversitesi
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this study, the time-scale based analysis of EEG signals is shown for recognition of sleep stages. The EEG signals from healthy subjects are analyzed by Scalogram method in the time-scale domain. We observed that statistical parameters, the average gray level and measure of uniformity extracted from the energy distribution images, are found to be effective on the recognition of sleep stages.
  • Keywords
    "Sleep","Electroencephalography","Testing","Analysis of variance","Signal analysis","Energy measurement","Image recognition","Electromyography","Electrooculography","Gaussian processes"
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Meeting (BIYOMUT), 2010 15th National
  • Print_ISBN
    978-1-4244-6380-0
  • Type

    conf

  • DOI
    10.1109/BIYOMUT.2010.5479848
  • Filename
    5479848
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3635835