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

研究成果: Conference contribution

8   連結會在新分頁中打開 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
主出版物子標題Nano-Bio Circuit Fabrics and Systems
頁面1388-1391
頁數4
DOIs
出版狀態Published - 2010
事件2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 - Paris, France
持續時間: 2010 5月 30 → 2010 6月 2

出版系列

名字ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems

Other

Other2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010
國家/地區France
城市Paris
期間10-05-30 → 10-06-02

All Science Journal Classification (ASJC) codes

  • 硬體和架構
  • 電氣與電子工程

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