The presence of artifacts in the EEG signals can cause a misunderstanding of the sought neurophysiological phenomena. In particular, the eye blink artifacts frequently contaminate the EEG and deteriorate its quality. Unfortunately, removing this artifact can lose useful information. The most popular approach in this field uses the independent component analysis to decompose the signal into different independent components and then eliminate those that are related to the artifact. Despite its reputation, this approach is computationally intensive, requires an acquisition from large number of channels and can alter the original EEG signal. In this paper, we propose a new method for blink artifact reduction. Several reference signals representing the eye blink are created then used in an orthogonal projection in order to cancel the artifact. The results of experiments, using 54 datasets from 27 subjects, show that the proposed method significantly outperformed the standard ADJUST, MARA and SASICA methods in removing the artifacts while preserving the pure EEG signals.

EEG 信号中伪影的存在会导致对所寻求的神经生理学现象的误解。特别是，眨眼伪影经常污染 EEG 并降低其质量。不幸的是，删除此工件可能会丢失有用的信息。该领域最流行的方法是使用独立分量分析将信号分解为不同的独立分量，然后消除与伪影相关的那些。尽管享有盛誉，但这种方法的计算量很大，需要从大量通道中获取数据，并且可以改变原始 EEG 信号。在本文中，我们提出了一种减少眨眼伪影的新方法。创建代表眨眼的几个参考信号，然后在正交投影中使用，以消除伪影。