传感技术学报Issue(10)：1368-1372,5.DOI:10.3969/j.issn.1004-1699.2014.10.012
基于自适应阈值的脑电信号去噪方法∗
De￣Noising Method of the EEG Based on Adaptive Threshold
摘要
Abstract
In order to eliminate the noise mixed in Electroencephalogram( EEG) and retain useful EEG information,an EEG de￣noising method based on adaptive threshold is proposed,which is improved on the basis of soft threshol￣ding. Firstly,high frequency coefficients and low frequency coefficients of multilayer signals are obtained by wavelet decomposition. Then,detail coefficients is processed by using the adaptive threshold. Finally,the original EEG signal is resumed by reconstructing shrinked detail coefficients. The final results show that the proposed de￣noising algorithm has perspective of higher SNR and lower RMSE compared to soft thresholding,hard thresholding and Gar￣rote thresholding.关键词
脑电信号/自适应阈值/信噪比(SNR)/均方根误差(RMSE)Key words
EEG signal/adaptive threshold method/SNR/RMSE分类
信息技术与安全科学引用本文复制引用
马玉良,许明珍,佘青山,高云园,孙曜,杨家强..基于自适应阈值的脑电信号去噪方法∗[J].传感技术学报,2014,(10):1368-1372,5.基金项目
国家自然科学基金项目(61372023，61201300，61201302，61172134)；浙江省自然科学基金项目(LQ13F010014)；杭州电子科技大学研究生品牌课程建设项目( PPKC2013YB006) （61372023，61201300，61201302，61172134）
