• DocumentCode
    380571
  • Title

    Studies of the coefficient of variation of the magnitude of EEG signals

  • Author

    Round, W.H. ; Sleigh, J.W.

  • Author_Institution
    Dept. of Phys. & Electron. Eng., Waikato Univ., Hamilton, New Zealand
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    873
  • Abstract
    An analysis of the variation in magnitude of EEG signals in various frequency bands of anesthetized patients and normal sleeping volunteers was carried out. The coefficient of variation (CoV), i.e. the standard deviation/mean, within 10 second epochs was found to be quite constant throughout the whole of the EEG recordings and was typically about 0.46. This was found to be the case for both the patients and the volunteers. Histograms of the magnitudes indicated that the magnitudes are distributed as f(x)=βxe(-αx2) functions. However a CoV of 0.46 is consistent with f(x)=βxe(-αx3) functions. The non-stationary nature of the EEG is such that it is likely that while over short periods the EEG magnitudes are distributed as f(x)=βxe(-αx3) functions, variations of α over time mean that in the long term the EEG magnitudes are distributed as f(x)=βxe(-αx2) functions.
  • Keywords
    covariance analysis; electroencephalography; fast Fourier transforms; medical signal processing; sleep; spectral analysis; EEG signals magnitude; anesthetized patients; brain activity; coefficient of variation; covariance; fast Fourier transform; histograms; normal sleeping; spectral entropy; spectrograms; standard deviation/mean; Anesthesia; Anesthetic drugs; Electroencephalography; Entropy; Frequency; Histograms; Hospitals; Physics; Signal analysis; Spectrogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1019081
  • Filename
    1019081