• DocumentCode
    148486
  • Title

    Monitoring sleep with 40-Hz ASSR

  • Author

    Haghigih, Sahar Javaher ; Hatzinakos, Dimitrios

  • Author_Institution
    Edward S. Rogers Sr. Dept. of of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    661
  • Lastpage
    665
  • Abstract
    The 40-Hz auditory steady state response (ASSR) signals recorded from human subjects during sleep and wakefulness are investigated in this study for the purpose of monitoring sleep. The ASSR signals extracted from stimulated electro encephalogram (EEG), explored in search for differentiating and robust to noise features. Choosing appropriate features in time and frequency domain, the performance of linear and quadratic discriminant analysis in classifying signals in different scenarios are studied. While the developed method itself is novel in sleep monitoring, due to similarities between N3 stage of sleep and anesthesia, the method will pave the way for later analysis on monitoring consciousness with 40-Hz ASSR. The 40-Hz ASSR extraction and noise cancellation methods presented in this paper can also be used for extracting 40-Hz ASSR from its background EEG signal in general.
  • Keywords
    electroencephalography; frequency-domain analysis; medical signal processing; signal classification; time-domain analysis; ASSR signal extraction; EEG; auditory steady state response signals; frequency domain; linear discriminant analysis; noise cancellation methods; quadratic discriminant analysis; signal classification; sleep monitoring; stimulated electro encephalogram; time domain; Anesthesia; Electrodes; Electroencephalography; Error analysis; Feature extraction; Sleep; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
  • Conference_Location
    Lisbon
  • Type

    conf

  • Filename
    6952191