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Real-time epileptic seizure detection on intra-cranial rat data using reservoir computing

Pieter Buteneers UGent, Benjamin Schrauwen UGent, David Verstraeten UGent and Dirk Stroobandt UGent (2009) LECTURE NOTES IN COMPUTER SCIENCE. 5506. p.56-63
abstract
In this paper it is shown that Reservoir Computing can be successfully applied to perform real-time detection of epileptic seizures in Electroencephalograms (EEGs). Absence and tonic-clonic seizures are detected on intracranial EEG coming from rats. This resulted in an area under the Receiver Operating Characteristics (ROC) curve of about 0.99 on the data that was used. For absences an average detection delay of 0.3s was noted, for tonic-clonic seizures this was 1.5s. Since it was possible to process 15h of data on an average computer in 14.5 minutes all conditions are met for a fast and reliable real-time detection system.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
in
LECTURE NOTES IN COMPUTER SCIENCE
Lect. Notes Comput. Sci.
editor
Mario Köppen, Nikola Kasabov and George Coghill
volume
5506
issue title
Advances in Neuro-Information Processing
pages
56 - 63
publisher
Springer
place of publication
Berlin, Germany
conference name
15th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly (ICONIP 2008)
conference location
Auckland, New Zealand
conference start
2008-11-25
conference end
2008-11-28
Web of Science type
Proceedings Paper
Web of Science id
000272340200007
ISSN
1611-3349
0302-9743
ISBN
978-3-642-02489-4
DOI
10.1007/978-3-642-02490-0_7
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
721867
handle
http://hdl.handle.net/1854/LU-721867
date created
2009-08-04 17:48:53
date last changed
2010-08-04 14:07:38
@inproceedings{721867,
  abstract     = {In this paper it is shown that Reservoir Computing can be successfully applied to perform real-time detection of epileptic seizures in Electroencephalograms (EEGs). Absence and tonic-clonic seizures are detected on intracranial EEG coming from rats. This resulted in an area under the Receiver Operating Characteristics (ROC) curve of about 0.99 on the data that was used. For absences an average detection delay of 0.3s was noted, for tonic-clonic seizures this was 1.5s. Since it was possible to process 15h of data on an average computer in 14.5 minutes all conditions are met for a fast and reliable real-time detection system.},
  author       = {Buteneers, Pieter and Schrauwen, Benjamin and Verstraeten, David and Stroobandt, Dirk},
  booktitle    = {LECTURE NOTES IN COMPUTER SCIENCE},
  editor       = {K{\"o}ppen, Mario and Kasabov, Nikola and Coghill, George},
  isbn         = {978-3-642-02489-4},
  issn         = {1611-3349},
  language     = {eng},
  location     = {Auckland, New Zealand},
  pages        = {56--63},
  publisher    = {Springer},
  title        = {Real-time epileptic seizure detection on intra-cranial rat data using reservoir computing},
  url          = {http://dx.doi.org/10.1007/978-3-642-02490-0\_7},
  volume       = {5506},
  year         = {2009},
}

Chicago
Buteneers, Pieter, Benjamin Schrauwen, David Verstraeten, and Dirk Stroobandt. 2009. “Real-time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing.” In Lecture Notes in Computer Science, ed. Mario Köppen, Nikola Kasabov, and George Coghill, 5506:56–63. Berlin, Germany: Springer.
APA
Buteneers, P., Schrauwen, B., Verstraeten, D., & Stroobandt, D. (2009). Real-time epileptic seizure detection on intra-cranial rat data using reservoir computing. In M. Köppen, N. Kasabov, & G. Coghill (Eds.), LECTURE NOTES IN COMPUTER SCIENCE (Vol. 5506, pp. 56–63). Presented at the 15th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly (ICONIP 2008), Berlin, Germany: Springer.
Vancouver
1.
Buteneers P, Schrauwen B, Verstraeten D, Stroobandt D. Real-time epileptic seizure detection on intra-cranial rat data using reservoir computing. In: Köppen M, Kasabov N, Coghill G, editors. LECTURE NOTES IN COMPUTER SCIENCE. Berlin, Germany: Springer; 2009. p. 56–63.
MLA
Buteneers, Pieter, Benjamin Schrauwen, David Verstraeten, et al. “Real-time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing.” Lecture Notes in Computer Science. Ed. Mario Köppen, Nikola Kasabov, & George Coghill. Vol. 5506. Berlin, Germany: Springer, 2009. 56–63. Print.