Removal of ballistocardiogram artifacts exploiting second order cyclostationarity

Foad Ghaderi, K. Nazarpour, J. McWhirter, S. Sanei
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引用次数: 1

Abstract

Simultaneous recording of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is increasingly used to monitor the brain activity. The interactions between the scanner magnetic field, the patient's body, and the EEG electrodes generate a pulsation artifact called ballistocardiogram (BCG) which is synchronized with the patient's heart beat. The BCG artifact is considered here as the sum of a number of independent cyclostationary components having the same cycle frequency. Cyclostationary source extraction (CSE) is used here to remove BCG artifact. The results are compared with the results of benchmark BCG removal techniques. It is shown that visual evoked potentials (VEPs) recorded inside the scanner and processed using the proposed method are more correlated with the VEPs recorded outside the scanner. Moreover, the presence of electrocardiogram (ECG) data is not necessary in this method as the cycle frequency of the BCG is directly computed from the contaminated EEG signals.
利用二阶循环平稳性去除弹道心图伪影
同时记录脑电图(EEG)和功能磁共振成像(fMRI)越来越多地用于监测大脑活动。扫描仪磁场、患者身体和脑电图电极之间的相互作用产生了与患者心跳同步的脉搏伪影,称为balllistocarogram (BCG)。BCG伪影在这里被认为是具有相同周期频率的若干独立循环平稳分量的总和。本文采用环平稳源提取(CSE)去除BCG伪迹。结果与基准BCG去除技术的结果进行了比较。结果表明,在扫描仪内记录并使用该方法处理的视觉诱发电位(vep)与扫描仪外记录的vep更具相关性。此外,该方法不需要心电图数据的存在,因为BCG的周期频率是直接从被污染的脑电图信号中计算出来的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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