EEG De-noising Based on Wavelet Transformation

摘要：

EEG is one of the mini-voltages. In order to improve the performance of EEG and increase the measure efficiency, we must eliminate the noise in EEG. Wavelet transformation is a kind of analytical tool in time-scale domain. It has the feature of multi-resolution analysis and the adaptation characteristic for signal. A noise rejection method with wavelet transformation was proposed here which is used to eliminate noises such as electrode disturbance, baseline movement, EMG noise and so on. At the same time, we use these methods mentioned above for emulation verify in clinical EEG de-noising. Experiments show that the wavelet transformation technology has good efficiency in EEG noise rejection.

关键词： EEG wavelet transformation noise rejection

作者: Lanlan Yu

作者单位: School of Electric,Shandong University of Technology Zibo,255049,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）