• DocumentCode
    2396467
  • Title

    Estimation of instantaneous power in the EEG to assess brain connectivity with high temporal resolution

  • Author

    Kwon, JungPhil ; Seth, Sohan ; Keil, Andreas ; Principe, Jose C.

  • Author_Institution
    Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    332
  • Lastpage
    335
  • Abstract
    This paper presents advanced signal processing algorithms to quantify brain connectivity with high temporal resolution using the electroencephalogram (EEG). The experimental paradigm exploits the visual cortex response to flickering images at a given frequency. The envelope of the EEG at the flickering frequency collected by 128 electrodes over the head quantifies the communication amongst the brain areas with high temporal resolution. This work proposes to use the empirical mode decomposition to find the flickering frequency and then use the Hilbert transform to estimate the instantaneous amplitude. A video of the topographical display of the instantaneous power over the array helps us visualize the exquisite communication that occurs during the stimulus presentation.
  • Keywords
    Hilbert transforms; cognition; electroencephalography; medical signal processing; neurophysiology; signal resolution; visual evoked potentials; Hilbert transform; brain connectivity; electroencephalogram; empirical mode decomposition; flickering images; instantaneous power estimation; signal processing algorithm; stimulus presentation; temporal resolution; topographical display; visual cortex response; Algorithms; Brain; Brain Mapping; Diagnosis, Computer-Assisted; Electroencephalography; Humans; Nerve Net; Neural Pathways;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333720
  • Filename
    5333720