Ocular Artifacts Removal from EEG Using EMD

  • David Looney
  • Ling Li
  • Tomasz M. Rutkowski
  • Danilo P. Mandic
  • Andrzej Cichocki

Abstract

Electroencephalogram (EEG) provides a non-invasive way to analyze brain activity. Blinking and movement of the eyes causes a strong electrical activity that can contaminate EEG recordings, particularly around the forehead but also as far as in occipital areas. Removal of such ocular artifacts is a considerable signal processing problem, since those artifacts overlap in frequency domain with EEG. In this paper we propose a signal reconstruction method based on a time frequency analysis tool known as the Hilbert-Huang spectrum. We demonstrate how our reconstruction scheme can be successfully applied to contaminated EEG data for the purposes of removing unwanted ocular artifacts.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • David Looney
    • 1
  • Ling Li
  • Tomasz M. Rutkowski
  • Danilo P. Mandic
  • Andrzej Cichocki
  1. 1.Communications and Signal Processing Group Department of Electrical and Electronic EngineeringImperial CollegeLondon

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