ON THE EFFECTIVENESS OF ICA BASED EYE ARTIFACT REMOVAL FROM EEG WINDOWS OF DIFFERENT LENGTHS

机译：基于ICA的不同长度脑电图去除人工眼效果的研究

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Eye artifacts, i.e., blinks and saccades, are usually non-avoidable when recording electroencephalogram (EEG) data. These artifacts can affect the performance of classifying the EEG patterns especially in real world applications, e.g. brain computer interfaces. To evaluate the effectiveness of independent component analysis (ICA) based eye artifact removal methods, the data are analyzed in batch and window-based modes in this paper. Despite the improvements achieved in the batch mode, it turns out that applying the removal methods to overlapping windows of the EEG data stream does not improve the classification performance.

机译：记录脑电图（EEG）数据时，通常无法避免出现眼神器，即眨眼和扫视。这些伪像会影响对EEG模式进行分类的性能，尤其是在实际应用中，例如脑计算机接口。为了评估基于独立成分分析（ICA）的眼神器去除方法的有效性，本文以批处理和基于窗口的模式对数据进行了分析。尽管在批处理模式下实现了改进，但事实证明，将删除方法应用于EEG数据流的重叠窗口并不能提高分类性能。

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来源
《Proceedings of the 17th IASTED international conference on robotics applications ; Proceedings of the 11th IASTED international conference on biomedical engineering》|2014年|178-182|共5页
会议地点 Zurich(CH)
作者
Foad Ghaderi; Elsa Andrea Kirchner;
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作者单位

Robotics Group, Faculty of Mathematics and Informatics, University of Bremen, Bremen, Germany;

Robotics Group, Faculty of Mathematics and Informatics, University of Bremen, Bremen, Germany,Robotics Innovation Center, German Research Center for Artificial Intelligence (DFKI GmbH), Bremen, Germany;

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正文语种 eng
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关键词
Electroencephalogram; eye artifacts; independent component analysis; artifact removal;

机译：脑电图眼神器;独立成分分析；去除伪影;

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专利

1. ONLINE REMOVAL OF EYE BLINK ARTIFACT FROM SCALP EEG USING CANONICAL CORRELATION ANALYSIS BASED METHOD [J] . LI ZHANG, YUDING WANG, CHUANHONG HE Journal of mechanics in medicine and biology . 2012,第5期

机译：基于经典相关分析的从头皮脑电图去除眨眼伪影的方法
2. Automatic removal of the eye blink artifact from EEG using an ICA-based template matching approach [J] . Li YD, Ma ZW, Lu WK, Physiological measurement . 2006,第4期

机译：使用基于ICA的模板匹配方法自动从EEG中去除眨眼伪像
3. Hybrid EEG-Eye Tracker: Automatic Identification and Removal of Eye Movement and Blink Artifacts from Electroencephalographic Signal [J] . Mannan Malik M. Naeem, Kim Shinjung, Jeong Myung Yung, SIAM journal on applied dynamical systems . 2017,第2期

机译：混合eeg-眼跟踪器：自动识别和删除眼睛运动，闪烁从脑电图信号闪烁伪影
4. ON THE EFFECTIVENESS OF ICA BASED EYE ARTIFACT REMOVAL FROM EEG WINDOWS OF DIFFERENT LENGTHS [C] . Foad Ghaderi, Elsa Andrea Kirchner IASTED international conference on biomedical engineering . 2014

机译：基于ICA基于不同长度的IEG窗口的效果
5. Design of a simulator for neonatal multichannel EEG: Application to time-frequency approaches for automatic artifact removal and seizure detection. [D] . Al-Sa'd, Mohamed Fathi. 2016

机译：新生儿多通道脑电图模拟器的设计：应用于时频方法以自动去除伪影和癫痫发作。
6. Hybrid EEG—Eye Tracker: Automatic Identification and Removal of Eye Movement and Blink Artifacts from Electroencephalographic Signal [O] . Malik M. Naeem Mannan, Shinjung Kim, Myung Yung Jeong, 2016

机译：混合脑电图-眼动仪：从脑电图信号中自动识别和去除眼动和眨眼伪影
7. Hybrid EEG—Eye Tracker: Automatic Identification and Removal of Eye Movement and Blink Artifacts from Electroencephalographic Signal [O] . Malik M. Naeem Mannan, Shinjung Kim, Myung Yung Jeong, 2016

机译：混合脑电图 - 眼动仪：从脑电信号中自动识别和消除眼球运动和眨眼伪影

ON THE EFFECTIVENESS OF ICA BASED EYE ARTIFACT REMOVAL FROM EEG WINDOWS OF DIFFERENT LENGTHS

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