• DocumentCode
    2496226
  • Title

    Individualising EEG frequency bands for sleep deprivation studies

  • Author

    Henelius, Andreas ; Korpela, Jussi ; Huotilainen, Minna

  • Author_Institution
    Brain Work Res. Centre, Finnish Inst. of Occupational Health, Helsinki, Finland
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    6083
  • Lastpage
    6086
  • Abstract
    A method for determining individualised frequency bands from electroencephalographic (EEG) power spectral density (PSD) plots is presented. EEG was collected during the performance of a computerised multitask test from 21 healthy male subjects, of which an experimental group of 14 subjects underwent sleep deprivation and 7 subjects formed the control group. EEG PSD plots were compared between the groups and were used to determine individual theta, alpha and beta bands for the subjects by studying the points of intersection between the individual subjects´ normalised spectra and the normalised average spectrum of the control group. The results show that the frontal and occipital locations are best suited for the determination of individualised frequency bands. The proposed method can be used to enhance EEG spectral analysis of task-induced cognitive effort during sleep deprivation.
  • Keywords
    cognition; electroencephalography; medical disorders; medical signal processing; sleep; spectral analysis; EEG frequency bands; EEG spectral analysis; electroencephalography; frontal location; occipital location; power spectral density; sleep deprivation; task-induced cognitive effort; Electrodes; Electroencephalography; Frequency control; Frequency conversion; Frequency measurement; Sleep; Spectral analysis; Adult; Algorithms; Brain; Cognition; Electroencephalography; Humans; Male; Sleep Deprivation; Young Adult;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091503
  • Filename
    6091503