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EEG-based neonatal seizure detection with Support Vector Machines

  • Published:2011-03 Issue:3 Volume:122 Page:464-473
  • ISSN:1388-2457
  • Container-title:Clinical Neurophysiology
  • language:en
  • Short-container-title:Clinical Neurophysiology

Author:

Temko A.,Thomas E.,Marnane W.,Lightbody G.,Boylan G.

Funder

Science Foundation Ireland

Wellcome Trust

Publisher

Elsevier BV

Subject

Physiology (medical),Neurology (clinical),Neurology,Sensory Systems

Reference37 articles.

1. A multistage knowledge-based system for EEG seizure detection in newborn infants;Aarabi;Clin Neurophysiol,2007

2. Boakye K. Audio segmentation for meetings speech processing. PhD thesis. University of California, Berkeley; 2008.

3. Detection of subclinical electroencephalographic seizure patterns with multichannel amplitude-integrated EEG in full-term neonates;Bourez-Swart;Clin Neurophysiol,2009

4. A Tutorial on Support Vector Machines for Pattern Recognition;Burges;Data Min Knowl Discov,1998

5. A computer-aided detection of EEG seizures in infants, a singular-spectrum approach and performance comparison;Celka;IEEE Tran Biomed Eng,2002

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