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Extracting the spike process from the EEG by spatially constrained ICA.

Ronald Phlypo UGent, Peter Van Hese UGent, Hans Hallez UGent, Paul Boon UGent, Rik Van de Walle UGent, Yves D'Asseler UGent and Ignace Lemahieu UGent (2006) 2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15. p.4934-4937
abstract
Epileptic patients often show Interictal Epileptic Discharges (IED's) in the electroencephalogram (EEG) recorded between seizures. This epileptiform activity is in many cases related to the location of the seizure onset, and is believed to reflect the frequency of the seizures. We present a fully automated technique that is able to extract the IED's from the EEG, despite the obscuring artifacts. The presented technique is based on a multi-objective optimization by maximizing the signal's kurtosis and minimizing its distance to a defined template. Preliminary results show that this technique automatically extracts a source on which spike detection techniques should perform better than on the regular channel selection procedure.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle
publication status
published
subject
journal title
2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15
pages
4934-4937 pages
Web of Science type
Article
Web of Science id
000247284705178
language
English
UGent publication?
yes
classification
P1
id
411690
handle
http://hdl.handle.net/1854/LU-411690
date created
2008-05-20 21:25:00
date last changed
2009-06-22 12:18:46
@article{411690,
  abstract     = {Epileptic patients often show Interictal Epileptic Discharges (IED's) in the electroencephalogram (EEG) recorded between seizures. This epileptiform activity is in many cases related to the location of the seizure onset, and is believed to reflect the frequency of the seizures. We present a fully automated technique that is able to extract the IED's from the EEG, despite the obscuring artifacts. The presented technique is based on a multi-objective optimization by maximizing the signal's kurtosis and minimizing its distance to a defined template. Preliminary results show that this technique automatically extracts a source on which spike detection techniques should perform better than on the regular channel selection procedure.},
  author       = {Phlypo, Ronald and Van Hese, Peter and Hallez, Hans and Boon, Paul and Van de Walle, Rik and D'Asseler, Yves and Lemahieu, Ignace},
  journal      = {2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15},
  language     = {eng},
  pages        = {4934--4937},
  title        = {Extracting the spike process from the EEG by spatially constrained ICA.},
  year         = {2006},
}

Chicago
Phlypo, Ronald, Peter Van Hese, Hans Hallez, Paul Boon, Rik Van de Walle, Yves D’Asseler, and Ignace Lemahieu. 2006. “Extracting the Spike Process from the EEG by Spatially Constrained ICA.” 2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15: 4934–4937.
APA
Phlypo, R., Van Hese, P., Hallez, H., Boon, P., Van de Walle, R., D’Asseler, Y., & Lemahieu, I. (2006). Extracting the spike process from the EEG by spatially constrained ICA. 2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 4934–4937.
Vancouver
1.
Phlypo R, Van Hese P, Hallez H, Boon P, Van de Walle R, D’Asseler Y, et al. Extracting the spike process from the EEG by spatially constrained ICA. 2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15. 2006;4934–7.
MLA
Phlypo, Ronald, Peter Van Hese, Hans Hallez, et al. “Extracting the Spike Process from the EEG by Spatially Constrained ICA.” 2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15 (2006): 4934–4937. Print.