Ghent University Academic Bibliography

Advanced

Automatic detection of spike and wave discharges in the EEG of genetic absence epilepsy rats from Strasbourg

Peter Van Hese UGent, Jean-Pierre Martens, Liesbeth Waterschoot, Paul Boon UGent and Ignace Lemahieu UGent (2009) IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 56(3). p.706-717
abstract
Genetic absence epilepsy rats from Strasbourg are a strain of Wistar rats in which all animals exhibit spontaneous occurrences of spike and wave discharges (SWDs) in the EEG. In this paper, we propose a novel method for the detection of SWDs, based on the key observation that SWDs are quasi-periodic signals. The method consists of the following steps: 1) calculation of the spectrogram; 2) estimation of the background spectrum and detection of stimulation artifacts; 3) harmonic analysis with continuity analysis to estimate the fundamental frequency; and 4) classification based on the percentage of power in the harmonics to the total power of the spectrum. We evaluated the performance of the novel detection method and six SWD/seizure detection methods from literature on a large database of labeled EEG data consisting of two datasets running to a total duration of more than 26 days of recording. The method outperforms all tested SWD/seizure detection methods, showing a sensitivity and selectivity of 96% and 97%, respectively, on the first test set, and a sensitivity and selectivity of 94% and 92%, respectively, on the second test set. The detection performance is less satisfactory (as for all other methods) for EEG fragments showing more irregular and less periodic SWDs.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
detection, epilepsy, genetic absence epilepsy rats from Strasbourg (GAERS), pitch detection, spike and wave discharges (SWDs), experimental animal models, time-frequency analysis, Automatic detection
journal title
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
IEEE Trans. Biomed. Eng.
volume
56
issue
3
pages
706 - 717
Web of Science type
Article
Web of Science id
000265486800017
JCR category
ENGINEERING, BIOMEDICAL
JCR impact factor
2.154 (2009)
JCR rank
22/59 (2009)
JCR quartile
2 (2009)
ISSN
0018-9294
DOI
10.1109/TBME.2008.2008858
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
666113
handle
http://hdl.handle.net/1854/LU-666113
date created
2009-05-26 11:44:25
date last changed
2013-03-25 13:30:31
@article{666113,
  abstract     = {Genetic absence epilepsy rats from Strasbourg are a strain of Wistar rats in which all animals exhibit spontaneous occurrences of spike and wave discharges (SWDs) in the EEG. In this paper, we propose a novel method for the detection of SWDs, based on the key observation that SWDs are quasi-periodic signals. The method consists of the following steps: 1) calculation of the spectrogram; 2) estimation of the background spectrum and detection of stimulation artifacts; 3) harmonic analysis with continuity analysis to estimate the fundamental frequency; and 4) classification based on the percentage of power in the harmonics to the total power of the spectrum. We evaluated the performance of the novel detection method and six SWD/seizure detection methods from literature on a large database of labeled EEG data consisting of two datasets running to a total duration of more than 26 days of recording. The method outperforms all tested SWD/seizure detection methods, showing a sensitivity and selectivity of 96\% and 97\%, respectively, on the first test set, and a sensitivity and selectivity of 94\% and 92\%, respectively, on the second test set. The detection performance is less satisfactory (as for all other methods) for EEG fragments showing more irregular and less periodic SWDs.},
  author       = {Van Hese, Peter and Martens, Jean-Pierre and Waterschoot, Liesbeth and Boon, Paul and Lemahieu, Ignace},
  issn         = {0018-9294},
  journal      = {IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING},
  keyword      = {detection,epilepsy,genetic absence epilepsy rats from Strasbourg (GAERS),pitch detection,spike and wave discharges (SWDs),experimental animal models,time-frequency analysis,Automatic detection},
  language     = {eng},
  number       = {3},
  pages        = {706--717},
  title        = {Automatic detection of spike and wave discharges in the EEG of genetic absence epilepsy rats from Strasbourg},
  url          = {http://dx.doi.org/10.1109/TBME.2008.2008858},
  volume       = {56},
  year         = {2009},
}

Chicago
Van Hese, Peter, Jean-Pierre Martens, Liesbeth Waterschoot, Paul Boon, and Ignace Lemahieu. 2009. “Automatic Detection of Spike and Wave Discharges in the EEG of Genetic Absence Epilepsy Rats from Strasbourg.” Ieee Transactions on Biomedical Engineering 56 (3): 706–717.
APA
Van Hese, P., Martens, J.-P., Waterschoot, L., Boon, P., & Lemahieu, I. (2009). Automatic detection of spike and wave discharges in the EEG of genetic absence epilepsy rats from Strasbourg. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 56(3), 706–717.
Vancouver
1.
Van Hese P, Martens J-P, Waterschoot L, Boon P, Lemahieu I. Automatic detection of spike and wave discharges in the EEG of genetic absence epilepsy rats from Strasbourg. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 2009;56(3):706–17.
MLA
Van Hese, Peter, Jean-Pierre Martens, Liesbeth Waterschoot, et al. “Automatic Detection of Spike and Wave Discharges in the EEG of Genetic Absence Epilepsy Rats from Strasbourg.” IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 56.3 (2009): 706–717. Print.