Ballistocardiogram artifact removal from EEG signals using adaptive filtering of EOG signals

Ballistocardiogram artifact removal from EEG signals using adaptive filtering of EOG signals
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DOI:
10.1088/0967-3334/27/11/014
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发表时间:
2006-11-01
影响因子:
3.2
通讯作者:
Ahn, Young B.
Ahn, Young B.
中科院分区:
工程技术3区
文献类型:
--
作者:
In, Myung H.;Lee, Soo Y.;Ahn, Young B.

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我们使用与EEG信号同时记录的眼电图(EOG)信号来估计MRI磁体内记录的EEG信号中的心冲击图(BCG)分量。由于在EEG测量点附近测量EOG信号,因此认为EOG信号中的BCG分量类似于EEG信号中的BCG分量。为了估计EEG信号中的BCG分量,我们将卡尔曼滤波器应用于3.0 T MRI磁体内记录的EOG和EEG信号。在从EEG信号中去除估计的BCG成分后,我们从去除BCG的EEG信号中提取视觉诱发电位(VEP)。为了验证卡尔曼滤波在BCG伪影去除中的有效性,我们比较了八名健康受试者的三种类型的VEP:一种是从磁体外测量的原始EEG信号中提取的,另一种是从磁体内测量的BCG去除的EEG信号中提取的。为了比较,用卡尔曼滤波和传统的BCG模板减法去除了BCG伪影。从两种去卡介菌的脑电信号中提取的两类VEP在波形、波幅和波幅上均无显著差异。
We estimated ballistocardiogram ( BCG) components in EEG signals recorded inside an MRI magnet using the electro-oculogram (EOG) signals recorded simultaneously with the EEG signals. Since the EOG signals are measured near the EEG measuring points, it is thought that the BCG components in the EOG signals resemble the BCG components in the EEG signals. To estimate the BCG components in the EEG signals, we applied the Kalman filter to the EOG and EEG signals recorded inside a 3.0 T MRI magnet. After removing the estimated BCG components from the EEG signals, we extracted the visual-evoked potentials (VEPs) from the BCG-removed EEG signals. To validate the efficacy of Kalman filtering in the BCG artifact removal, we have compared three types of VEPs of eight healthy subjects: one extracted from the raw EEG signals measured outside the magnet and the others extracted from the BCG-removed EEG signals measured inside the magnet. The BCG artifacts have been removed with Kalman filtering as well as with the conventional BCG template subtraction method for the sake of comparison. No significant difference in waveforms, latencies and amplitudes has been found between the two types of VEPs extracted from the two kinds of BCG-removed EEG signals.