Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary

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TY  - JOUR
  - Nagaraj, S.B., Stevenson, N.J., Marnane, W.P., Boylan, G.B. and Lightbody, G.,
  - 2014
  - November
  - IEEE Transactions On Biomedical Engineering
  - Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary
  - Published
  - ()
  - Complex dictionary, neonatal electroencephalogram (EEG), orthogonal matching pursuit (OMP), seizure detection.
  - 61
  - 11
  - 2724
  - 2732
  - Atomic decomposition (AD) can be used to efficiently decompose an arbitrary signal. In this paper, we present a method to detect neonatal electroencephalogram (EEG) seizure based on AD via orthogonal matching pursuit using a novel, application specific, dictionary. The dictionary consists of pseudoperiodic Duffing oscillator atoms which are designed to be coherent with the seizure epochs. The relative structural complexity (a measure of the rate of convergence of AD) is used as the sole feature for seizure detection. The proposed feature was tested on a large clinical dataset of 826 h of EEG data from 18 full-term newborns with 1389 seizures. The seizure detection system using the proposed dictionary was able to achieve a median receiver operator characteristic area of 0.91 (IQR 0.87–0.95) across 18 neonates.
  - 10.1109/TBME.2014.2326921
  - Science Foundation Ireland
DA  - 2014/11
ER  - 
@article{V281186836,
   = {Nagaraj, S.B., Stevenson, N.J., Marnane, W.P., Boylan, G.B. and Lightbody, G.,},
   = {2014},
   = {November},
   = {IEEE Transactions On Biomedical Engineering},
   = {Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary},
   = {Published},
   = {()},
   = {Complex dictionary, neonatal electroencephalogram (EEG), orthogonal matching pursuit (OMP), seizure detection.},
   = {61},
   = {11},
  pages = {2724--2732},
   = {{Atomic decomposition (AD) can be used to efficiently decompose an arbitrary signal. In this paper, we present a method to detect neonatal electroencephalogram (EEG) seizure based on AD via orthogonal matching pursuit using a novel, application specific, dictionary. The dictionary consists of pseudoperiodic Duffing oscillator atoms which are designed to be coherent with the seizure epochs. The relative structural complexity (a measure of the rate of convergence of AD) is used as the sole feature for seizure detection. The proposed feature was tested on a large clinical dataset of 826 h of EEG data from 18 full-term newborns with 1389 seizures. The seizure detection system using the proposed dictionary was able to achieve a median receiver operator characteristic area of 0.91 (IQR 0.87–0.95) across 18 neonates.}},
   = {10.1109/TBME.2014.2326921},
   = {Science Foundation Ireland},
  source = {IRIS}
}
AUTHORSNagaraj, S.B., Stevenson, N.J., Marnane, W.P., Boylan, G.B. and Lightbody, G.,
YEAR2014
MONTHNovember
JOURNAL_CODEIEEE Transactions On Biomedical Engineering
TITLENeonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary
STATUSPublished
TIMES_CITED()
SEARCH_KEYWORDComplex dictionary, neonatal electroencephalogram (EEG), orthogonal matching pursuit (OMP), seizure detection.
VOLUME61
ISSUE11
START_PAGE2724
END_PAGE2732
ABSTRACTAtomic decomposition (AD) can be used to efficiently decompose an arbitrary signal. In this paper, we present a method to detect neonatal electroencephalogram (EEG) seizure based on AD via orthogonal matching pursuit using a novel, application specific, dictionary. The dictionary consists of pseudoperiodic Duffing oscillator atoms which are designed to be coherent with the seizure epochs. The relative structural complexity (a measure of the rate of convergence of AD) is used as the sole feature for seizure detection. The proposed feature was tested on a large clinical dataset of 826 h of EEG data from 18 full-term newborns with 1389 seizures. The seizure detection system using the proposed dictionary was able to achieve a median receiver operator characteristic area of 0.91 (IQR 0.87–0.95) across 18 neonates.
PUBLISHER_LOCATION
ISBN_ISSN
EDITION
URL
DOI_LINK10.1109/TBME.2014.2326921
FUNDING_BODYScience Foundation Ireland
GRANT_DETAILS