Independent component analysis as a tool to eliminate artifacts in EEG: A quantitative study
Independent component analysis as a tool to eliminate artifacts in EEG: A quantitative study
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DOI：
10.1097/00004691-200307000-00004
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发表时间：
2003-07-01
影响因子：
2.4
通讯作者：
Artieda, J
中科院分区：
文献类型：
--
作者：
Iriarte, J;Urrestarazu, E;Artieda, J
独立分量分析(ICA)是一种从混合信号中计算独立分量的新技术。假想的临床应用是去除脑电中的伪影。本研究的目的是将ICA应用于标准的EEG记录，以消除众所周知的伪影，从而客观地量化其有效性。研究了80例有棘波和明显的心电图伪影、眼球运动、50赫兹干扰、肌肉或电极伪影的记录样本。ICA分量的计算采用特征矩阵联合近似对角化(JADE)算法。信号被重建，排除了与伪影相关的那些分量。归一化相关系数被用来衡量由于抑制这些成分而引起的变化。ICA对所有样品中的信号都有明显的清除作用。去除伪影前后，钉状物的形态和形态非常相似。相关系数表明，信号的其余部分没有明显变化。两名检查员独立观察样本，以确定放电和伪影的形态和位置的变化。总之，ICA被证明是一种有用的工具，可以清除短脑电样本中的伪影，而不存在与数字滤波器相关的缺点。相关分析测量的发作间期活动的失真最小。
Independent component analysis (ICA) is a novel technique that calculates independent components from mixed signals. A hypothetical clinical application is to remove artifacts in EEG. The goal of this study was to apply ICA to standard EEG recordings to eliminate well-known artifacts, thus quantifying its efficacy in an objective way. Eighty samples of recordings with spikes and evident artifacts of electrocardiogram (EKG), eye movements, 50-Hz interference, muscle, or electrode artifact were studied. ICA components were calculated using the Joint Approximate Diagonalization of Eigen-matrices (JADE) algorithm. The signal was reconstructed excluding those components related to the artifacts. A normalized correlation coefficient was used as a measure of the changes caused by the suppression of these components. ICA produced an evident clearing-up of signals in all the samples. The morphology and the topography of the spike were very similar before and after the removal of the artifacts. The correlation coefficient showed that the rest of the signal did not change significantly. Two examiners independently looked at the samples to identify the changes in the morphology and location of the discharge and the artifacts. In conclusion, ICA proved to be a useful tool to clean artifacts in short EEG samples, without having the disadvantages associated with the digital filters. The distortion of the interictal activity measured by correlation analysis was minimal.