• DocumentCode
    3311837
  • Title

    Observability issues in networked clocks with applications to epilepsy

  • Author

    O´Sullivan-Greene, Elma ; Mareels, Iven ; Burkitt, Anthony ; Kulhmann, Levin

  • Author_Institution
    Dept. of Electr.&Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    3527
  • Lastpage
    3532
  • Abstract
    Inspired by the epileptic seizure prediction problem, this paper investigates what we can expect to be able to observe from electroencephalography (EEG) measurements of brain dynamics. Earlier research efforts have unsuccessfully attempted to track synchrony from EEG, viewing the brain matter as a coupled oscillator with the seizure state resulting from global synchronization. Using a model of networked pendulum clocks, we find that observing sufficient information to track the build up of synchrony is an ill-posed problem unless measurements are taken from a very localized region of brain tissue.
  • Keywords
    clocks; diseases; electroencephalography; observability; pendulums; EEG; brain dynamics; brain tissue; electroencephalography measurements; epileptic seizure prediction problem; global synchronization; networked pendulum clocks; observability; Biological system modeling; Brain modeling; Clocks; Electroencephalography; Epilepsy; Mathematical model; Observability; Oscillators; Scalp; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400545
  • Filename
    5400545