• DocumentCode
    2003666
  • Title

    Short-time Fourier Transform analysis of EEG signal from writing

  • Author

    Fadzal, C. W N F Che Wan ; Mansor, W. ; Khuan, L.Y. ; Zabidi, A.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. Mara, Shah Alam, Malaysia
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    525
  • Lastpage
    527
  • Abstract
    Short-time Fourier Transform (STFT) provides an advantage of revealing the frequency contents of the signal at each time point in the signal. This information can be used to provide control and perform several tasks in Brain Computer Interface system. This paper describes the STFT analysis of EEG signals obtained during relaxing and writing, The results of the STFT analysis showed that there are significant differences in the frequency components and patterns between the EEG signals obtained from relax and writing.
  • Keywords
    brain-computer interfaces; data acquisition; electroencephalography; fast Fourier transforms; medical signal processing; EEG signal; brain computer interface system; data acquisition; electroencephalogram; relaxing; short-time Fourier transform analysis; writing; Electrodes; Electroencephalography; Fourier transforms; Signal resolution; Spectrogram; Time frequency analysis; Writing; Electroencephalogram; Fourier Transform; Short Time Frequency Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and its Applications (CSPA), 2012 IEEE 8th International Colloquium on
  • Conference_Location
    Melaka
  • Print_ISBN
    978-1-4673-0960-8
  • Type

    conf

  • DOI
    10.1109/CSPA.2012.6194785
  • Filename
    6194785
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2003666