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Removal of Ocular Artifacts with the Utilization of Filter Banks

机译:利用滤镜组去除人工眼

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摘要

Eye blinks and other ocular artifacts represent a dominant source of EEG signal interference, especially in frontal EEG electrodes. Even though there are several widely accepted methods for the removal eye-blinks, (e.g. linear filtering and ICA), it is still a difficult problem to address when the number of EEG electrodes are limited (as is the case for EEG systems designed for everyday application contexts), and dedicating a subset of these for monitoring eye activity is impractical. In this paper, we propose a novel and general method to eliminate the ocular artifacts based on a combination of filter banks and an eye tracker. This approach offers the promise of making non-intrusive, efficient, and robust ocular artifact detection and correction a tractable prospect.
机译:眨眼和其他眼部伪影代表了EEG信号干扰的主要来源,尤其是在额叶EEG电极中。即使有几种广为接受的消除眨眼的方法(例如,线性滤波和ICA),当脑电电极的数量受到限制时(仍然是为日常设计的脑电系统所遇到的情况),仍然是一个难以解决的问题。应用上下文),并且专门使用这些子集来监视眼睛活动是不切实际的。在本文中,我们提出了一种新颖且通用的方法,该方法基于滤镜组和眼动仪的组合来消除眼部伪影。这种方法有望使非侵入性,高效且健壮的眼部伪影检测和矫正成为可预测的前景。

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