Trained SVMs

  • Karoliina Tapani (Creator)
  • Nathan J. Stevenson (University of Helsinki, QIMR Berghofer Medical Research Institute) (Creator)

Dataset

Description

These SVMs are needed to run 3 out of 4 implementations of neonatal seizure detection algorithms (https://github.com/ktapani/Neonatal_Seizure_Detection).

The fullSVM_XXXs are trained on all data in https://zenodo.org/record/1280684#.Wxh3QkiFNaQ, 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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