• DocumentCode
    1837291
  • Title

    Using morphological filters to extract spiky transients in EEG

  • Author

    Luo, X.G. ; Peng, C.L. ; Guo, X.M.

  • Author_Institution
    Coll. of Bioeng., Chongqing Univ., China
  • fYear
    2005
  • fDate
    26-28 May 2005
  • Firstpage
    72
  • Lastpage
    74
  • Abstract
    In this paper, we use four basic morphological operators to construct a bandpass filter, and also investigate the construct method of the filter in detail. Furthermore, we give the algorithm flowchart of this filter. The result of experiment shows that this morphological filter can be applied to eliminate noise from EEG signal by two different length structure elements and it has advanced property that can remove noise without damage signal useful information. Using this algorithm, we can filter noise and extract spiky transients in EEG effectively.
  • Keywords
    band-pass filters; bioelectric phenomena; electroencephalography; filtering theory; medical signal processing; neurophysiology; noise; EEG; algorithm flowchart; bandpass filter; morphological filters; noise filtering; noise removal; spiky transient extraction; Band pass filters; Data mining; Electroencephalography; Flowcharts; Information filtering; Information filters; Laboratories; Morphology; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Interface and Control, 2005. Proceedings. 2005 First International Conference on
  • Print_ISBN
    0-7803-8902-6
  • Type

    conf

  • DOI
    10.1109/ICNIC.2005.1499845
  • Filename
    1499845