• DocumentCode
    380910
  • Title

    EEG real-time feedback based on STFT and coherence analysis

  • Author

    Weidong, Zhou ; Yingyuan, Li

  • Author_Institution
    Dept of Electron. Eng., Shandong Univ., Jinan, China
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1869
  • Abstract
    A method and system of real-time feedback and analyzing Electroencephalogram (EEG) using short-time Fourier transform (STFT) and coherence analysis is presented in this paper. The system composition of hardware and software are described. By the utilization of this method and system, the EEG´s real-time time-frequency distribution (TFD) is obtained, and the EEG temporal spectral 3-dimension array is displayed on computer´s screen for EEG realtime feedback. The time-frequency analysis (TFA) such as Wigner-Ville distribution (WVT) and wavelet transform (WT), has been successfully applied in some biomedical signals to detect both temporal and spectral features of biomedical signals. But real-time realization of TFA is difficult since the computation complication of WVT and WT. By using the STFT algorithm, we develop a system for the EEG feedback and TFA in real-time. This system may be used for EEG biofeedback, and possesses the value of clinical practice.
  • Keywords
    Fourier transforms; electroencephalography; feedback; medical signal processing; time-frequency analysis; EEG real-time feedback based; Wigner-Ville distribution; clinical practice; coherence analysis; computation complication; real-time time-frequency distribution; short-time Fourier transform; spectral features; temporal features; wavelet transform; Biomedical computing; Computer displays; Distributed computing; Electroencephalography; Feedback; Fourier transforms; Hardware; Real time systems; Time frequency analysis; Wavelet analysis;
  • 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.2001.1020589
  • Filename
    1020589