Skip to content

Python scripts used to develop the methodology proposed in "Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models".

Notifications You must be signed in to change notification settings

fabioacl/Seizure-Prediction---Artifact-Removal-and-Chronological-Training

Repository files navigation

Seizure Prediction - Artifact Removal and Chronological Training

Scripts used to develop the methodology proposed in Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models

In the case you use these scripts, cite the following manuscript:

Lopes, F., Leal, A., Pinto, M.F. et al. Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models. Sci Rep 13, 5918 (2023). https://doi.org/10.1038/s41598-023-30864-w

About

Python scripts used to develop the methodology proposed in "Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models".

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages