| 基于典型相关分析与低通滤波的肌电伪迹去除 |
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| 引用本文： | 张莉,何传红,何为,王林泓.基于典型相关分析与低通滤波的肌电伪迹去除[J].数据采集与处理,2010,25(2). |
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| 作者姓名： | 张莉 何传红 何为 王林泓 |
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| 作者单位： | 1. 重庆大学电气工程学院,重庆,400030;重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆,400030
2. 重庆大学光电工程学院,重庆,400030 |
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| 摘 要： | 提出了一种基于典型相关分析(CCA)和低通滤波的盲源分离方法去除脑电信号(EEG)中的肌电伪迹.该方法首先将混入了肌电伪迹的EEG信号分解为不相关的CCA分量,然后对与伪迹源相关的分量进行低通滤波处理,去除这些分量中的高频伪迹成分,最后利用与EEG相关的CCA分量和滤波处理后的新分量重构信号,消除肌电伪迹的影响.实验结果表明,采用CCA能够有效地分离出肌电伪迹,而结合低通滤波技术能够更有效地保留EEG信息.该方法取得了较好的去除肌电伪迹的效果.
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| 关 键 词： | 脑电信号 肌电伪迹 典型相关分析 低通滤波 |
Method for Removing EMG Artifacts Based on CCA and Low-Pass Filtering |
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| Zhang Li,He Chuanhong,He Wei,Wang Linhong.Method for Removing EMG Artifacts Based on CCA and Low-Pass Filtering[J].Journal of Data Acquisition & Processing,2010,25(2). |
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| Authors: | Zhang Li He Chuanhong He Wei Wang Linhong |
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| Affiliation: | Zhang Li1,2,He Chuanhong1,He Wei1,Wang Linhong3(1.Electrical Engineering College,Chongqing University,Chongqing,400030,China,2.State Key Laboratory of Power Transmission Equipment & System Security , New Technology,3.Optoelectronic Engineering College,China) |
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| Abstract: | A blind source separation(BSS) method based on the canonical correlation analysis(CCA) and the low-pass filtering is proposed to remove electromyography(EMG) artifacts.Firstly,the electroencephalography(EEG) signals containing EMG artifacts are separated into CCA components.Then,CCA components related to artifacts are filtered by using low-pass filters to remove the high frequency artifact components.Finally,EEG signals are reconstructed with the brain activity related CCA components and with the low-pass f... |
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| Keywords: | electroencephalography(EEG) electromyography(EMG) artifacts canonical correlation analysis(CCA) low-pass filtering |
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