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
Link To Document