Combining ICA with Wavelet Transformation on Grouped EEG for Epileptic Seizure Detection
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 98 === In this thesis, we propose a new scheme which combines ICA with wavelet transformation on grouped EEG signals for epileptic seizure detection. The Independent Component Analysis (ICA) is adopted to enhance epileptic seizure. Then, wavelet transformation is fol...
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2010
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Online Access: | http://ndltd.ncl.edu.tw/handle/23888851512997709542 |
Summary: | 碩士 === 國立成功大學 === 電腦與通信工程研究所 === 98 === In this thesis, we propose a new scheme which combines ICA with wavelet transformation on grouped EEG signals for epileptic seizure detection. The Independent Component Analysis (ICA) is adopted to enhance epileptic seizure. Then, wavelet transformation is followed with a dynamic threshold for identifying the epileptic seizure location. A series of experiments has been conducted to evaluate the proposed approach. The experimental results show that the proposed method has a superior performance than other approaches.
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