Adaptive modelling of background EEG for robust detection of neonatal seizures

@article{Temko2012AdaptiveMO,
  title={Adaptive modelling of background EEG for robust detection of neonatal seizures},
  author={Andriy Temko and Liam Marnane and G. B. Boylan and Gordon Lightbody},
  journal={2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences},
  year={2012},
  pages={46-51}
}
Adaptive probabilistic modelling of the EEG background is proposed for seizure detection in neonates with hypoxic ischemic encephalopathy. The decision is made based on temporal derivative of the seizure probability with respect to the adaptively modeled level of background activity. The robustness of the system to long duration, seizure-like artifacts (in… CONTINUE READING