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| The Comparative Research on Wavelet and Hilbert Transform in the EEG De-noising |
| LUO Zhi-zeng,YUAN Fei-long,GAO Yun-yuan |
| Robotics Research Institute, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China |
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Abstract To eliminate the noises mixed in the EEG effectively for completing the EEG analysis, a comparative research is made about the EEG de-noising effects of wavelet and Hilbert transform.In the HHT denoising method, using empirical mode decomposition algorithm to have 8 scales of decomposition for the EEG, and get the combination of components of intrinsic mode functions, then reconstruct the filtered signal, obtain the EEG after denoising finallyExperimental results show that HHT method can properly remove the noises which contained in the EEGThe denoising effects of HHT method and the wavelet transform method are compared by using the evaluation indexes.It finds that HHT method is better than the traditional wavelet transform in the EEG de-nosing and the efficiency of the HHT method is higher.
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2013, Vol. 34 
