• DocumentCode
    3511954
  • Title

    Normalized Bispectrum Ratio: Parameter for estimating depth of anesthesia

  • Author

    Ferdous, Nusrat ; Kiber, Md Adnan

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Inst. of Sci. & Technol., Bangladesh
  • fYear
    2012
  • fDate
    18-19 May 2012
  • Firstpage
    784
  • Lastpage
    789
  • Abstract
    Electroencephalogram (EEG) is the brain signal containing valuable information about the conscious and unconscious state of the brain, which may provide a useful tool to measure depth of anesthesia. In order to avoid complex and time consuming interpretation of raw EEG signals a common approach is to extract a single univariate value (if possible) that represents the patient´s depth of anesthesia. In this paper, a novel index, Normalized Bispectrum Ratio, RB is proposed which is based upon the difference between bispectrum values of EEG signals of conscious and unconscious states of human.
  • Keywords
    electroencephalography; feature extraction; medical signal processing; signal sampling; EEG; anesthesia; brain conscious state; brain signal; brain unconscious state; electroencephalogram; normalized bispectrum ratio; parameter depth estimation; signal sampling; single univariate value extraction; Electroencephalography; Humans; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4673-1153-3
  • Type

    conf

  • DOI
    10.1109/ICIEV.2012.6317544
  • Filename
    6317544