北京生物医学工程Issue(3)：251-255,283,6.DOI:10.3969/j.issn.1002-3208.2015.03.06
基于小波奇异点检测和阈值去噪的眨眼伪迹去除方法
A method for blink artifact removal based on wavelet singularity detection and thresholding denoising
摘要
Abstract
Objective Blink artifact is common and has serious effect on EEG .To remove the blink artifacts in EEG automatically without a reference channel , this paper proposes a method for blink artifact removal based on wavelet singularity detection and thresholding denoising .Methods First, the detection property of wavelet singularity was used to detect the positions of blink artifact peaks , and then only the blink artifact zones were denoised by the wavelet thresholding method .Results The experimental results showed that the proposed method could effectively detect the blink artifacts and avoid affecting the EEG outside the blink artifact zones in usual methods .Conclusions The threshold and thresholding function used in the paper could effectively remove the blink artifacts in EEG and outperform the conventional soft or hard thresholding estimators.关键词
小波变换/奇异点检测/阈值去噪/眨眼伪迹Key words
wavelet/singularity detection/thresholding denoising/blink artifact分类
医药卫生引用本文复制引用
牟锴钰,韦明,杨辉,彭振..基于小波奇异点检测和阈值去噪的眨眼伪迹去除方法[J].北京生物医学工程,2015,(3):251-255,283,6.基金项目
航天医学基础与应用国家重点实验室研究基金（2012SY54B0601）资助 （）
