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Constrained ICA Based Ballistocardiogram and Electro-Oculogram Artifacts Removal from Visual Evoked Potential EEG Signals Measured Inside MRI

  • Tahir Rasheed
  • Myung Ho In
  • Young-Koo Lee
  • Sungyoung Lee
  • Soo Yeol Lee
  • Tae-Seong Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4232)

Abstract

In the simultaneous acquisition of EEG and fMRI, analysis of EEG signals is a difficult task due to ballistocardiogram (BCG) and electro-oculogram (EOG) artifacts. It gets worse if evoked potentials are measured inside MRI for their minute responses in comparison to the spontaneous brain responses. In this paper, we propose a new method for removing both artifacts simultaneously from the evoked EEG signals acquired inside MRI using constrained Independent component analysis (cICA). With properly designed reference functions for the BCG and EOG artifacts as constraints, cICA identifies the independent components (ICs) corresponding to the artifacts. Then artifact-removed EEG signals are reconstructed after removing the identified ICs to obtain evoked potentials. To evaluate our proposed technique, we have removed the artifacts with cICA and the standard template subtraction technique and generated visual evoked potentials (VEPs) respectively which are compared to the VEPs obtained from EEG signals measured outside MRI. Our results indicate that our cICA technique performs better than the standard BCG artifact removal methods with some efficient features.

Keywords

Independent Component Analysis Independent Component Analysis Artifact Removal Template Subtraction Artifact Template 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tahir Rasheed
    • 1
  • Myung Ho In
    • 2
  • Young-Koo Lee
    • 1
  • Sungyoung Lee
    • 1
  • Soo Yeol Lee
    • 2
  • Tae-Seong Kim
    • 2
  1. 1.Dept. of Computer Engineering 
  2. 2.Dept. of Biomedical EngineeringKyung Hee UniversitySuwonRepublic of Korea

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