• DocumentCode
    725293
  • Title

    A review on analysis of EEG signals

  • Author

    Kaur, Jasjeet ; Kaur, Amanpreet

  • Author_Institution
    Electron. & Commun. Eng. Dept., Thapar Univ., Patiala, India
  • fYear
    2015
  • fDate
    19-20 March 2015
  • Firstpage
    957
  • Lastpage
    960
  • Abstract
    Electroencephalography (EEG) enlighten about the state of the brain i.e. about the electrical bustle going on in the brain. The electrical activity measured as voltage at different points of brain act as basis of EEG. These signals are generally time-varying and non-stationary in nature. These signals can be scrutinized using various signal processing techniques. In this paper, few statistical approaches to analyze EEG data are conversed.
  • Keywords
    bioelectric potentials; electroencephalography; medical signal processing; statistical analysis; EEG signal analysis; brain; electrical bustle; electrical voltage; electroencephalography; signal processing; statistical approaches; time-varying nonstationary signals; Brain modeling; Electrodes; Electroencephalography; Mathematical model; Principal component analysis; Wavelet transforms; EEG signals; analysis; methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
  • Conference_Location
    Ghaziabad
  • Type

    conf

  • DOI
    10.1109/ICACEA.2015.7164844
  • Filename
    7164844