Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)
- Volume 1995 Issue 11
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- Pages.189-192
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- 1995
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)
- Published : 1995.11.17
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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