| EEG Signal Denoising Based on Wavelet Transform |
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| 作者姓名： | WANG Qiao-lan JI Zhong QIN Shu-ren |
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| 摘 要： | The article focuses on the method of noise cancellation for EEG signal. The method of notch filter is discussed. According to the frequency of noise and the principle of notch filter, the design result of the notch filter and the denoised signal are presented. Then, the analysis of EEG signal are proposed based on wavelet transform (WT) and noise cancellation using WT. Wavelet transform is a multi-resolution time-frequency analysis method. It can decompose mixed signal into signals at different frequency bands. The EEG signal is analyzed and denoised using WT, then the results are presented respectively. Comparing the experiment results shows that WT can detect and process noise in the EEG signal effectively.
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| 关 键 词： | wavelet transform (WT) EEG notch filter noise interference denoising |
EEG Signal Denoising Based on Wavelet Transform |
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| WANG Qiao-lan,JI Zhong,QIN Shu-ren.EEG Signal Denoising Based on Wavelet Transform[J].Storage & Process,2005(7):15. |
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| Authors: | WANG Qiao-lan JI Zhong QIN Shu-ren |
| |
| Abstract: | The article focuses on the method of noise cancellation for EEG signal. The method of notch filter is discussed. According to the frequency of noise and the principle of notch filter, the design result of the notch filter and the denoised signal are presented. Then, the analysis of EEG signal are proposed based on wavelet transform (WT) and noise cancellation using WT. Wavelet transform is a multi-resolution time-frequency analysis method. It can decompose mixed signal into signals at different frequency bands. The EEG signal is analyzed and denoised using WT, then the results are presented respectively. Comparing the experiment results shows that WT can detect and process noise in the EEG signal effectively. |
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| Keywords: | wavelet transform (WT) EEG notch filter noise interference denoising |
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