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Epileptic seizure detection in grouped multi-channel EEG signal using ICA and wavelet transform

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4 Author(s)
Han-Yen Chang ; Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan ; Sheng-Chih Yang ; Sheng-Hsing Lan ; Pau-Choo Chung

In this paper, we propose a new scheme which combines two algorithms to detect epileptic seizure in the grouped multi-channel EEG signals. For the proposed scheme, a recent technique, Independent Component Analysis (ICA), is first adapted to separate blind sources and extract feature from grouped EEG signals. Then, Wavelet transform is followed for multi resolution and multi-level analysis on those primary signals extracted by ICA. Finally, a threshold method based on wavelet transform again is applied to detect the epileptic seizure. A series of experiments using different method combination are conducted and the experimental results show that the proposed method has a superior quality.

Published in:

Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on

Date of Conference:

May 30 2010-June 2 2010