Observability issues in networked clocks with applications to epilepsy

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

doi:10.1109/CDC.2009.5400545

Observability issues in networked clocks with applications to epilepsy

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

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

8 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	3527-3532
Number of pages	6
ISBN (Print)	9781424438716
DOIs	https://doi.org/10.1109/CDC.2009.5400545
Publication status	Published - 2009
Externally published	Yes
Event	IEEE Conference on Decision and Control held jointly with Chinese Control Conference 2009 - Shanghai, China Duration: 15 Dec 2009 → 18 Dec 2009 Conference number: 48th & 28th

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
ISSN (Print)	0191-2216

Conference

Conference	IEEE Conference on Decision and Control held jointly with Chinese Control Conference 2009
Abbreviated title	CDC/CCC 2009
Country/Territory	China
City	Shanghai
Period	15/12/09 → 18/12/09

Access to Document

10.1109/CDC.2009.5400545

Cite this

O'Sullivan-Greene, E., Mareels, I., Burkitt, A., & Kulhmann, L. (2009). Observability issues in networked clocks with applications to epilepsy. In Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 (pp. 3527-3532). (Proceedings of the IEEE Conference on Decision and Control). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2009.5400545

O'Sullivan-Greene, Elma ; Mareels, Iven ; Burkitt, Anthony et al. / Observability issues in networked clocks with applications to epilepsy. Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009. IEEE, Institute of Electrical and Electronics Engineers, 2009. pp. 3527-3532 (Proceedings of the IEEE Conference on Decision and Control).

@inproceedings{b40a15bc7f3a4fa2802bee6a9ff6a216,

title = "Observability issues in networked clocks with applications to epilepsy",

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.",

author = "Elma O'Sullivan-Greene and Iven Mareels and Anthony Burkitt and Levin Kulhmann",

note = "Copyright: Copyright 2010 Elsevier B.V., All rights reserved.; IEEE Conference on Decision and Control held jointly with Chinese Control Conference 2009, CDC/CCC 2009 ; Conference date: 15-12-2009 Through 18-12-2009",

year = "2009",

doi = "10.1109/CDC.2009.5400545",

language = "English",

isbn = "9781424438716",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "3527--3532",

booktitle = "Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009",

address = "United States of America",

}

O'Sullivan-Greene, E, Mareels, I, Burkitt, A & Kulhmann, L 2009, Observability issues in networked clocks with applications to epilepsy. in Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009. Proceedings of the IEEE Conference on Decision and Control, IEEE, Institute of Electrical and Electronics Engineers, pp. 3527-3532, IEEE Conference on Decision and Control held jointly with Chinese Control Conference 2009, Shanghai, China, 15/12/09. https://doi.org/10.1109/CDC.2009.5400545

Observability issues in networked clocks with applications to epilepsy. / O'Sullivan-Greene, Elma; Mareels, Iven; Burkitt, Anthony et al.
Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009. IEEE, Institute of Electrical and Electronics Engineers, 2009. p. 3527-3532 (Proceedings of the IEEE Conference on Decision and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Observability issues in networked clocks with applications to epilepsy

AU - O'Sullivan-Greene, Elma

AU - Mareels, Iven

AU - Burkitt, Anthony

AU - Kulhmann, Levin

N1 - Conference code: 48th & 28th

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77950826424&partnerID=8YFLogxK

U2 - 10.1109/CDC.2009.5400545

DO - 10.1109/CDC.2009.5400545

M3 - Conference Paper

AN - SCOPUS:77950826424

SN - 9781424438716

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 3527

EP - 3532

BT - Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - IEEE Conference on Decision and Control held jointly with Chinese Control Conference 2009

Y2 - 15 December 2009 through 18 December 2009

ER -

O'Sullivan-Greene E, Mareels I, Burkitt A, Kulhmann L. Observability issues in networked clocks with applications to epilepsy. In Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009. IEEE, Institute of Electrical and Electronics Engineers. 2009. p. 3527-3532. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC.2009.5400545

Observability issues in networked clocks with applications to epilepsy

Abstract

Publication series

Conference

Access to Document

Other files and links

Cite this