Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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CLASSIFICATION OF BRAIN EVOKED POTENTIAL USING CORRELATION COEFFICIENTS AND NEURAL NETWORK

상관계수와 뉴럴 네트워크를 이용한 뇌 유발 전위의 분류

  • Chee, Young-Joon (Interdisplinary Program in Medical and Biological Engineering Major) ;
  • Park, Kwang-Suk (Dept. of Biomedical Engineering, Seoul National University)
  • 지영준 (서울 대학교 대학원 의용생체공학 협동과정) ;
  • 박광석 (서울대학교 의과대학 의공학 교실)
  • Published : 1995.11.17
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Abstract

In Visually Evoked Potentials(VEP) or Auditory Evoked Potentials(AEP), the components by the stimulation and the components which are irrelevant to the stimulation(noise or nonstationary spontaneous EEG) are mixed together. So one should average hundreds of EP waves to extract the components by the stimulation only. In this study, we have classified EP's, which are the responses of the different stimulations and different states of subjects. To classify the EP waves, the cross-correlation coefficients and neural network method(error back propagation) are used and compared.

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