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)
Show moreYear 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)