EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique

  • Tomasz M. Rutkowski
  • Danilo P. Mandic
  • Andrzej Cichocki
  • Andrzej W. Przybyszewski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5226)


Human brains expose the possibility to be connected directly to the intelligent computing applications in form of brain computer/ machine interfacing (BCI/BMI) technologies. Neurophysiological signals and especially electroencephalogram (EEG) are the forms of brain electrical activity which can be easily captured and utilized for BCI/BMI applications. Those signals are unfortunately highly contaminated by noise due to a very low level of electrophysiological signals and presence of different devices in the environment creating electromagnetic interference. In the proposed approach we first decompose each of the recorded channels, in multichannel EEG recording environment, into intrinsic mode functions (IMF) which are a result of empirical mode decomposition (EMD) extended to multichannel analysis in this paper. We present novel and interesting results on human mental and cognitive states estimation based on analysis of the above mentioned stimuli-related IMF components.


EEG brain synchrony brain signal processing EMD application to EEG 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Tomasz M. Rutkowski
    • 1
  • Danilo P. Mandic
    • 2
  • Andrzej Cichocki
    • 1
  • Andrzej W. Przybyszewski
    • 3
    • 4
  1. 1.Laboratory for Advanced Brain Signal ProcessingRIKEN Brain Science InstituteJapan
  2. 2.Imperial College LondonUnited Kingdom
  3. 3.Department of PsychologyMcGill UniversityMontrealCanada
  4. 4.Department of NeurologyUniversity of Massachusetts Medical SchoolUSA

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