EMD-based EEG signal enhancement for auditory evoked potential recovery under high stimulus-rate paradigm
EMD-based EEG signal enhancement for auditory evoked potential recovery under high stimulus-rate paradigm
复制标题
基于 EMD 的脑电图信号增强，用于高刺激率范式下听觉诱发电位的恢复
DOI：
10.1016/j.bspc.2013.08.004
复制
发表时间：
2013-11
影响因子：
5.1
通讯作者：
Zhan, Chang'an
中科院分区：
文献类型：
--
作者：
Lin, Lin;Zhang, Aitao;Peng, Xian;Zhan, Chang'an
短刺激间期(ISI)是研究听觉诱发电位(AEP)的高刺激率(HSR)范式的固有特征之一。在短ISIS中，AEP与相邻刺激重叠。要将AEP分解为特定的刺激，需要一个重叠的反向过程。逆滤波(也称为反卷积)通常被用来实现这一目标。然而，所得到的信号可能会严重失真，因为逆滤波可以在很大程度上放大原始EEG记录中的诸如噪声和伪影之类的不想要的分量。在实际应用中，即使注意获得高质量的脑电，噪声和伪影也是不可避免的。因此，对于使用HSR范例的研究，移除或至少抑制这些不需要的成分是至关重要的。本文提出了一种基于经验模式分解(EMD)和阈值滤波/抑制的脑电信号增强方法。使用合成数据和真实数据，我们测试了我们方法的有效性。对这两种类型数据的结果一致地表明，根据视觉检查和使用两个度量估计的信噪比，我们的方法可以显著提高恢复的AEP的质量。
Short inter-stimulus interval (ISI) is one inherent characteristic of the high stimulus-rate (HSR) paradigms for studying auditory evoked potentials (AEPs). At short ISIs, the AEPs to adjacent stimuli overlap. To resolve the AEP to a specific stimulus requires an inverse process of overlapping. Inverse filtering (also called as deconvolution) has been commonly employed to achieve this goal. However, the resulted signal may be severely distorted as inverse filtering can substantially amplify such undesired components as noises and artifacts in the raw EEG recordings. In practice, even if care be taken to obtain quality EEGs, noises and artifacts are unavoidable. It is thus critical to remove or at least supress these undesired components for studies using HSR paradigms. In this paper, we propose a systematic approach to EEG signal enhancement based on empirical mode decomposition (EMD) and threshold filtering/rejection. Using synthetic and real data, we test the effectiveness of our approach. Results for both types of data consistently demonstrate that our methods can significantly improve the quality of recovered AEPs, according to visual inspection and SNRs estimated using two metrics.
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DOI：
10.1016/0013-4694(84)90093-2
发表时间：
1984-06
期刊：
Electroencephalography and clinical neurophysiology
影响因子：
--
作者：
J. Möcks;T. Gasser;Pham Dinh Tuan
通讯作者：
J. Möcks;T. Gasser;Pham Dinh Tuan
DOI：
10.1109/iembs.2008.4650344
发表时间：
2008-10
期刊：
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
影响因子：
--
作者：
Tao Wang;Yuan-yuan Su;Qian Shen;Jianhua Ma
通讯作者：
Tao Wang;Yuan-yuan Su;Qian Shen;Jianhua Ma
影响因子：
1.8
作者：
R. Burkard
通讯作者：
R. Burkard
影响因子：
8.8
作者：
McNeer, Richard R.;Bohorquez, Jorge;Oezdamar, Oezcan
通讯作者：
Oezdamar, Oezcan
影响因子：
2.4
作者：
Özdamar, Ö;Bohórquez, J
通讯作者：
Bohórquez, J