EEG Analysis during Light Stimulus based on Morphological Multiresolution Analysis

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Author(s)

    • Irie Jun
    • Department of Systems Design and Informatics, Kyushu Institute of Technology
    • Fujio Mitsuhiko
    • Department of Systems Design and Informatics, Kyushu Institute of Technology
    • Inoue Katsuhiro
    • Department of Systems Design and Informatics, Kyushu Institute of Technology

Abstract

It is known that Electroencephalograph (EEG) signal shows specific responses according to the event (e.g. visual stimulus, cognition and motor imagery). Especially, by classifying short time EEG signal, features are used to control an electronic device (such system is called brain computer interface: BCI). Generally, in feature extraction from EEG signal, these features are extracted by using linear method such as FIR filter and wavelet transform etc. Though, linear method is not suitable because impulse noise distorts the important features. To avoid this, the morphological analysis method with non-linear characteristics has been used in this fields. In this paper, we propose a design method of structuring function that determine the filter characteristic of morphology. The morphological method is compared to discrete wavelet transform (DWT) from the view point of filter characteristics. We apply our method to real data observed from visual stimulation.

Journal

  • Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications

    Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2010(0), 113-118, 2010

    The ISCIE Symposium on Stochastic Systems Theory and Its Applications

Codes

  • NII Article ID (NAID)
    130007377253
  • Text Lang
    ENG
  • ISSN
    2188-4730
  • Data Source
    J-STAGE 
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