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单通道脑电信号中眼电干扰的检测及去除方法 被引量:7

EOG detection and removal method for single channel electroencephalogram signal
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摘要 针对脑电信号(EEG)中眼电(EOG)干扰的问题,提出一种单通道脑电信号中眼电干扰的检测及去除方法。首先,根据多窗口一阶导数求和(MSDW)的特点,提出了单通道脑电信号中眼电干扰的检测方法;然后,使用小波变换(WT)对眼电干扰进行估计;最后,从原始脑电信号中减去估计的眼电信号,得到纯净的脑电信号。实验结果表明,对于不同通道的脑电信号,该方法均能有效地检测及去除眼电干扰;此外,该方法不需要使用多个脑电信号通道和专门的眼电信号通道。 To solve the ElectroOculoGram( EOG) artifact problem in ElectroEncephaloGram( EEG), an EOG detection and removal method for single channel EEG signal was proposed. According to the characteristics of Multi-window Summation of first Derivatives in a sliding Window( MSDW), a method to detect EOG artifacts from a single channel was proposed.Then, EOG artifacts were estimated using Wavelet Transform( WT). Finally, EOG artifacts were eliminated by subtracting the estimated EOG signals from raw EEG signal. Experimental results show that the method can effectively detect and remove EOG artifacts from EEG signal in different channels. In addition, data from multiple EEG signal channels and special EOG signal channel were not required in our method.
出处 《计算机应用》 CSCD 北大核心 2017年第A01期226-230,265,共6页 journal of Computer Applications
基金 国家自然科学基金资助项目(61201347) 重庆市基础与前沿研究计划项目(cstc2016jcyj A0103) 中央高校基本科研业务费资助项目(CDJZR13185502)
关键词 脑电信号 单通道 眼电干扰 检测及去除 MSDW 小波变换 ElectroEncephaloGram(EEG) single channel ElectroOculoGram(EOG) detection and removal Multi-window SDW(MSDW) Wavelet Transform(WT)
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