基于EMD和OMP的单通道脑电记录眨眼伪影自动校正

N. Mourad, R. Niazy
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引用次数: 8

摘要

本文提出了一种单通道脑电记录中眨眼伪影自动校正的新技术。所提出的技术包括三个步骤。在前两步中,根据记录的数据分别构造字典矩阵和眨眼伪影的参考信号。在提出的技术中,我们建议使用经验模态分解(EMD)来构建字典矩阵。最后一步,利用正交匹配追踪(OMP)来寻找构造的字典矩阵中与参考信号匹配的最小列数。对真实脑电数据的仿真结果表明,该方法优于现有的一些单通道盲信源分离技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic correction of eye blink artifact in single channel EEG recording using EMD and OMP
In this paper we propose a new technique for automatic correction of eye blink artifact in single channel EEG recording. The proposed technique consists of three steps. In the first two steps a dictionary matrix and a reference signal to the eye blink artifact are constructed from the recorded data, respectively. In the proposed technique we suggest building the dictionary matrix using empirical mode decomposition (EMD). In the last step, orthogonal matching pursuit (OMP) is utilized to find the minimum number of columns of the constructed dictionary matrix that fit the reference signal. Simulation results on real EEG data show that the proposed technique outperforms some of the existing single channel blind source separation techniques.
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