• DocumentCode
    429078
  • Title

    Analysis on synchronous time-frequency components of human movement related cortical potential using wavelet transform

  • Author

    Kawada, Masatake

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Tokushima Univ., Japan
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    333
  • Lastpage
    336
  • Abstract
    Electroencephalogram (EEG) has been generally known as a non-destructive method to examine the function of human brain. In recent years, brain-computer interface (BCI) based on EEG has been a growing field of research and development. This work presents to identify time frequency components of movement-related cortical potential (MRCP) associated with the human voluntary muscle behaviors using the wavelet transform. The EEG was recorded with the 5-channel referential derivations, Fz, Cz, C3, C4, Pz, referenced to the right earlobe based on the international 10-20 system. The voluntary activity was recorded with the electrode placed on the palm side of the metacarpophalangeal joint when the subjects flexed the right - or left - hand index finger respectively and eyes closed. The synchronous time-frequency components of MRCP were shown in this study.
  • Keywords
    bioelectric potentials; biomechanics; biomedical electrodes; electroencephalography; medical signal processing; time-frequency analysis; wavelet transforms; earlobe; electroencephalogram; human brain; human movement-related cortical potential; human voluntary muscle behaviors; index finger; metacarpophalangeal joint; synchronous time-frequency components; wavelet transform; Brain computer interfaces; Electrodes; Electroencephalography; Fingers; Humans; Muscles; Research and development; Time frequency analysis; Wavelet analysis; Wavelet transforms; Dynamic spectrum; EEG; Movement-related cortical potential; Wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403160
  • Filename
    1403160