Trained SVMs

  • Karoliina Tapani (Creator)
  • Nathan J. Stevenson (Creator)



These SVMs are needed to run 3 out of 4 implementations of neonatal seizure detection algorithms (

The fullSVM_XXXs are trained on all data in, and can be used to detect seizures in new EEG data.

The svmXXXs are trained on cross validated data and can be used to reproduce results presented in:

K. Tapani, S. Vanhatalo and N. Stevenson, Time-varying EEG correlations improve automated neonatal seizure detection, International Journal of Neural Systems. (accepted for publication)
Date made available5 Jun 2018

Dataset Licences

  • CC-BY-4.0

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