Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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The Detection of Interictal Epileptic Waveform Using LVQ Network

LVQ 신경망을 이용한 간질 파형검출

  • Choi, H.W. (Department of Biomedical Engineering, College of Health Science, Yonsei University) ;
  • Yoon, Y.R. (Department of Biomedical Engineering, College of Health Science, Yonsei University) ;
  • Lee, S.S. (Dept. of Neurology, Wonju Medical College, Yonsei University)
  • 최혜원 (연세대학 보건과학대학 의용전자공학과) ;
  • 윤영로 (연세대학 보건과학대학 의용전자공학과) ;
  • 이성수 (연세대학 원주의과대학 신경과)
  • Published : 1998.11.20
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Abstract

In this paper, we present the detection algorithm of interictal epileptic waveform using LVQ network and wavelet transform. First wavelet coefficients is used to represent the characteristics of a single channel EEG wave, and make a number of neural network input node smaller. Then, three-layer neural network employing LVQ network is trained and tested using parameters obtained from the first stage. This study showed that preprocessed EEG data can be successfully used to train ANNs to detect epileptogenic discharges with a high success.

Keywords