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| The Application of Neighbor Comparing Digital Filter and Wavelet Transform in EEG De-noising |
| LUO Zhi-zhen,QIU Zhi-bin |
| Hangzhou Dianzi University, Robot Research Institute, Hangzhou, Zhejiang 310018, China |
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Abstract An EEG de-noising method which combines neighborhood comparison and wavelet transform is described and it was used to de-noising the EEG signals which contains pulse jamming. First, the algorithm of neighborhood comparison filtering and the de-noising principle of wavelet transform was introduced. Then 10 EEG signals was processed by the de-noising method. Finally, the de-noising effects and wavelet transform de-noising effects were compared. Experimental results show that both signal noise ratio and root mean square error, combining de-noising effects of the two methods were superior to the de-noising effects of wavelet transform.
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［1］Shen M, Sun L, Chan F H Y. Method for extracting time-varying rhythms of electroencephalography via wavelet packet analysis［J］. Science, Measurement and Technology, IEE Proceedings, 2001,148(1): 23-27.
［2］Millan J R, Mourino J. Asynchronous BCI and local neural classifiers: an overview of the Adaptive Brain interface porject［J］. IEEE Transactions on Neural Systerms and Rehabilitation Engineering, 2003, 11(2): 159-161.
［3］Lanlan Yu.EEG De-noising Based on Wavelet Transformation［C］//ICBBE 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, Beijing, China, 2009: 1-4.
［4］Lihong Zhang, Dingyun Wu, Lianhe Zhi. Method of removing noise from EEG signals based on HHT method［C］//ICISE. 2009 1st International Conference on Information Science and Engineering. Nanjing,China,2009, 596-599.
［5］Zhaojun Xue, Jia Li, Song Li,et al. Using ICA to Remove Eye Blink and Power Line Artifacts in EEG［C］//ICICIC. First International Conference on Innovative Computing, Information and Control. Beijing,China,2006,107-110.
［6］Park H J, Jeong D U, Park K S. Automated detection and elimination of periodic ECG artifacts in EEG using the energy interval histogram method［J］. IEEE Transactions on Biomedical Engineering, 2002, 49(12): 1526-1533.
［7］Aihua Zhang, Weiping Li. Adaptive noise cancellation for removing cardiac and respiratory artifacts from EEG recordings［C］//IEEE. Fifth World Congress on Intelligent Control and Automation. Hangzhou,China,2004, 5557-5560.
［8］孙勇,景博,覃征,等.基于小波分析的信噪分离方法研究［J］.计量学报,2006,27(2):153-155.
［9］傅金阶,罗晓曙,谈志强,等.邻域比较数字滤波——一种对脑电信号进行滤波的有效方法［J］.临床神经电生理学杂志,2001,10(2):108-111.
［10］罗志增,李亚飞,孟明,等.一种基于二代小波变换与盲信号分离的脑电信号处理方法［J］.航天医学与医学工程,2010,23(2):137-140. |
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2011, Vol. 32 
