• DocumentCode
    1952841
  • Title

    Average spectral analysis of EEG signal from imagined writing

  • Author

    Zabidi, Azlee ; Mansor, W. ; Lee, Khuan Y. ; Che Wan Fadzal, C.W.N.F.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. Mara, Shah Alam, Malaysia
  • fYear
    2012
  • fDate
    17-19 Dec. 2012
  • Firstpage
    960
  • Lastpage
    963
  • Abstract
    Electroencephalogram (EEG) is a tool to record and measure activity of the brain. The spontaneous electrical activity of the brain causes by ionic current flows within the neurons of the brain is collected from electrodes that are placed on the scalp. Analysis on EEG can help us to study the relation between motor imaginary and actual movement during a specific task. EEG data recorded during actual writing and imagined writing were analyzed using Average Spectrum by averaging the spectrum computed (using Fast Fourier Transform) over the number of frames. Result showed that there is similarity in the EEG signals obtained during actual writing and imagined writing.
  • Keywords
    bioelectric phenomena; biomedical electrodes; data recording; electroencephalography; fast Fourier transforms; medical signal processing; neurophysiology; spectral analysis; EEG data recording; EEG signal analysis; average spectral analysis; average spectrum; brain; electrodes; electroencephalogram; fast Fourier transform; imagined writing; ionic current flows; motor imaginary; neurons; spontaneous electrical activity; Average Spectrum; Electroencephalogram; Fast Fourier Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4673-1664-4
  • Type

    conf

  • DOI
    10.1109/IECBES.2012.6498204
  • Filename
    6498204