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
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;
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
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400545