Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)
- Volume 1995 Issue 11
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- Pages.282-285
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- 1995
EEG Signal Prediction Using Feedback Structured Adaptive RF Filter
피드백 구조의 적응 RF 필터를 이용한 EEG 신호 예측
- Kim, Hyun-Sool (Dept. of Electrical Eng., Yonsei Univ.) ;
- Woo, Yong-Ho (Dept. of Electrical Eng., Yonsei Univ.) ;
- Kim, Taek-Soo (Dept. of Electrical Eng., Yonsei Univ.) ;
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Choi, Youn-Ho
(Dept. of Electronics Eng., Kyonggi Univ.)
;
- Park, Sang-Hui (Dept. of Electrical Eng., Yonsei Univ.)
- Published : 1995.11.17
Abstract
In this paper, we present a feedback structured adaptive RF filter based on the recursive modified Gram-Schmidt algorithm for short-term prediction of EEG signal. And the performance of this proposed filter is compared with those of linear AR model, RF filter, Volterra filter and RBF neural network as single-step prediction and multi-step prediction. The results show the superiority of this proposed filter in prediction of EEG signals.
Keywords