Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on the Diagnosis of VEP Signal by using Wavelet transform

Wavelet변환을 이용한 VEP신호 진단에 대한 연구

  • Seo, Gang-Do (School of Electronic Electric Engineering, Kyungpook National University) ;
  • Choi, Chang-Hyo (School of Electronic Electric Engineering, Kyungpook National University) ;
  • Shim, Jae-Chang (School of Computer Engineering, Andong National University) ;
  • Cho, Jin-Ho (School of Electronic Electric Engineering, Kyungpook National University)
  • 서강도 (경북대학교 전자.전기학부) ;
  • 최창효 (경북대학교 전자.전기학부) ;
  • 심재창 (안동대학교 컴퓨터공학과) ;
  • 조진호 (경북대학교 전자.전기학부)
  • Published : 2001.11.24
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Abstract

In this paper, we analyze algorithms for diagnosing of VEP(visual evoked potential) signal. We used wavelet transform for the preprocessing of VEP signal data and back propagation neural network for the pattern recognition. We used several wavelets to study their effects and efficiency in the preprocessing of VEP. The diagnosis system led to good results. We obtained the noise reduced and compressed signal with the wavelet transform of the training VEP signal. So it is possible to train the neural network faster and exact diagnosis processing is possible in the neural network. From the experimental results, we know that the discrimination ability of the neural network is changed by the type of basis vector and the proposed system is good to the diagnosis of VEP.

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