Reference layer adaptive filtering (RLAF) for EEG artifact reduction in simultaneous EEG-fMRI.

@article{Steyrl2017ReferenceLA,
  title={Reference layer adaptive filtering (RLAF) for EEG artifact reduction in simultaneous EEG-fMRI.},
  author={David Steyrl and Gunther Krausz and Karl Koschutnig and G{\"u}nter Edlinger and Gernot R. M{\"u}ller-Putz},
  journal={Journal of neural engineering},
  year={2017},
  volume={14 2},
  pages={
          026003
        }
}
OBJECTIVE Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) combines advantages of both methods, namely high temporal resolution of EEG and high spatial resolution of fMRI. However, EEG quality is limited due to severe artifacts caused by fMRI scanners. APPROACH To improve EEG data quality substantially, we introduce methods that use a reusable reference layer EEG cap prototype in combination with adaptive filtering. The first method, reference layer… CONTINUE READING
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