传感技术学报2016，Vol.29Issue(12)：1832-1838,7.DOI:10.3969/j.issn.1004-1699.2016.12.009
一种基于SA4多小波的脑电信号消噪方法
A De-Noising Method of the EEG Signal Based on SA4 Multi-Wavelet*
摘要
Abstract
To retain more details during the EEG signal de-noising,a de-noising method based on SA4 multi-wave?let is proposed. Firstly,the repeated sample pre-filtering method is applied to pre-process the EEG signal,and the multidimensional multi-wavelet coefficients can be obtained by SA4 multi-wavelet decomposition algorithm. Then, the soft threshold function is used to process the multi-wavelet coefficients of each layer,and the coefficients are re?constructed by multi-wavelet transform to get the de-noised EEG signal. Simulation results show that compared with db4 wavelet algorithm,the better signal-to-noise ratios and root mean square errors of the EEG signal can be achieved by SA4 multi-wavelet algorithm,which can also reduce the detail loss during the EEG signal de-noising.关键词
脑电信号/消噪/SA4多小波/预处理/信噪比Key words
EEG signal/de-noising/SA4 multi-wavelet/pre-filtering/signal-to-noise ratios(SNR)分类
信息技术与安全科学引用本文复制引用
任通,罗志增,孟明,姚家扬..一种基于SA4多小波的脑电信号消噪方法[J].传感技术学报,2016,29(12):1832-1838,7.基金项目
国家自然科学基金项目(61172134) （61172134）
浙江省自然科学基金项目(LY14F030023) （LY14F030023）
