Trained SVMs

Trained SVMs

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)
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Year of publication

2018

Authors

School services, SCI

Karoliina Tapani - Creator

Nathan J. Stevenson - Creator

QIMR Berghofer Medical Research Institute - Contributor

University of Helsinki - Contributor

Zenodo - Publisher

Other information

Fields of science

Neurosciences

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)