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Related Experiment Video

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Ballistocardiogram artifact removal with a reference layer and standard EEG cap.

Qingfei Luo1, Xiaoshan Huang2, Gary H Glover1

  • 1Department of Radiology, Stanford University, Stanford, CA 94305, USA.

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|June 25, 2014
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Summary

A new reusable BCG reference layer (BRL) cap effectively removes cardiac (ballistocardiogram) artifacts in simultaneous EEG-fMRI. This practical method significantly improves EEG signal quality compared to traditional techniques like optimal basis sets (OBS).

Keywords:
BCG artifactBallistocardiogramEEG-fMRIOBSReference layerRemoval

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Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Signal Processing

Background:

  • Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are powerful tools for studying brain activity.
  • EEG recordings in simultaneous EEG-fMRI are significantly contaminated by ballistocardiogram (BCG) artifacts caused by cardiac pulsations.
  • Current BCG reference layer (BRL) methods for artifact removal are often inefficient, requiring customized equipment or additional experimental setup for each session.

Purpose of the Study:

  • To develop a more practical and efficient BRL method for removing BCG artifacts in EEG-fMRI.
  • To compare the performance of the novel BRL method against the widely used optimal basis sets (OBS) algorithm.

Main Methods:

  • A novel BRL method was developed using a permanent and reusable cap design.
  • This reusable cap is compatible with standard EEG caps, eliminating the need for extra experiments or preparations.
  • The method measures BCG artifacts using a group of electrodes on an insulated reference layer, separate from the scalp.

Main Results:

  • The proposed BRL method demonstrated effective removal of BCG artifacts from both oscillatory and evoked potential scalp recordings.
  • The method successfully recovered the underlying EEG signal quality.
  • Significant improvements in contrast-to-noise ratios were observed for alpha-wave (101%), visual (76%), and auditory (75%) evoked potentials using 160 BCG electrodes.

Conclusions:

  • The new reusable BRL method offers a practical and efficient solution for BCG artifact removal in EEG-fMRI.
  • The BRL method substantially improves EEG signal quality compared to traditional methods like OBS.
  • Even with fewer electrodes (20 BCG electrodes), the BRL method showed significant improvements in EEG signal quality (74%/26%/41% for different signal types).