RESEARCH OF SACCADE-RELATED EEG: COMPARISON OF ENSEMBLE AVERAGING METHOD AND INDEPENDENT COMPONENT ANALYSIS
RESEARCH OF SACCADE-RELATED EEG: COMPARISON OF ENSEMBLE AVERAGING METHOD AND INDEPENDENT COMPONENT ANALYSIS
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眼跳相关脑电图研究：集合平均法与独立分量分析的比较
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
A. Cichocki
中科院分区：
文献类型：
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作者：
A. Funase;A. Barros;S. Okuma;T. Yagi;A. Cichocki
与快速眼动（扫视）相关的脑电图（EEG）一直是我们小组开发脑机接口（BCI）的应用导向研究的主题。我们的目标是开发一种基于在线脑电信号眼动系统的脑机接口。大部分的眼跳相关的EEG数据的分析已经使用合奏平均方法进行。然而，系综平均不适合BCI。为了真实的处理原始脑电数据，我们进行了眼跳相关脑电实验，并采用非传统的带参考信号的快速伊卡（FICAR）对数据进行了处理。使用FICAR算法，我们能够成功地提取出所需的独立成分（IC）与参考信号相关。进行视觉引导的扫视任务，并记录扫视中产生的EEG信号。脑电信号的处理分为三个阶段：PCA预处理和降噪，使用维纳滤波器提取参考信号的IC，以及基于峰度最大化的高阶统计量快速伊卡后处理。从实验结果和分析中，我们发现，使用FICAR可以从原始EEG数据中提取与扫视相关的IC，并在眼睛发生真实的运动之前提前4[ms]预测扫视。对于单次EEG数据，我们成功地提取出了所需的IC，识别率为72%。
Electroencephalogram (EEG) related to fast eye movement (saccade), has been the subject of application oriented research by our group toward developing a brain-computer interface(BCI). Our goal is to develop novel BCI based on eye movements system employing EEG signals on-line. Most of the analysis of the saccade-related EEG data has been performed using ensemble averaging approaches. However, ensemble averaging is not suitable for BCI. In order to process raw EEG data in real time, we performed saccade-realted EEG experiments and processed data by using the non-conventional Fast ICA with Reference signal (FICAR). Using the FICAR algorithm, we was able to extract successfully a desired independent components(IC) which are correlated with a reference signal. Visually guided saccade tasks were performed and the EEG signal generated in the saccade was recorded. The EEG processing was performed in three stages: PCA preprocessing and noise reduction, extraction of the desired IC using Wiener filter with reference signal, and post-processing using higher order statistics Fast ICA based on maximization of kurtosis. Form the experimental results and analysis we found that using FICAR it is possible to extract form raw EEG data the saccade-related ICs and to predict saccade in advance by 4[ms] before real movements of eyes occurs. For single trail EEG data we have successfully extracted the desire ICs with recognition rate 72%.
DOI：
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发表时间：
1999
期刊：
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影响因子：
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作者：
Tzyy-Ping Jungl;S. Make;M. Westerfield;J. Townsend
通讯作者：
Tzyy-Ping Jungl;S. Make;M. Westerfield;J. Townsend