Separation and Reconstruction of BCG and EEG Signals during Continuous EEG and fMRI Recordings

Frontiers in Neuroscience

Hongjing eXia¹  Mark Steven Cohen¹  Dan eRuan¹ 

[1] University of California, Los Angeles;

关键词: artifacts;    segmentation;    simultaneous EEG-fMRI;    Ballistocardiogram;    group sparsity;    split Bregman;   

DOI  :  10.3389/fnins.2014.00163

来源: DOAJ

【 摘 要 】

Despite considerable effort to remove it, the ballistocardiogram (BCG) remains a major artifact in electroencephalographic data (EEG) acquired inside magnetic resonance imaging (MRI) scanners, particularly in continuous (as opposed to event-related) recordings. In this study, we have developed a new Direct Recording – Prior Encoding (DRPE) method to extract and separate the BCG and EEG components from contaminated signals, and have demonstrated its performance by comparing it quantitatively to the popular Optimal Basis Set (OBS) method. Our modified recording configuration allows us to obtain representative bases of the BCG- and EEG-only signals. Further, we have developed an optimization-based reconstruction approach to maximally incorporate prior knowledge of the BCG/EEG subspaces, and of the signal characteristics within them. Both OBS and DRPE methods were tested with experimental data, and compared quantitatively using cross-validation. In the challenging continuous EEG studies, DRPE outperforms the OBS method by nearly 7 fold in separating the continuous BCG and EEG signals.

【 授权许可】

Unknown