Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?-Reference-Cited by-同舟云学术

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Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Yang Hongliu,Eberlein Matthias,Muller Jens,Tetzlaff Ronald

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9669261/9669139/09669757.pdf?arnumber=9669757

Reference18 articles.

1. Towards Improved Design and Evaluation of Epileptic Seizure Predictors

2. Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG

3. Ensembling crowdsourced seizure prediction algorithms using long-term human intracranial EEG;reuben;Epilepsia,2019

4. A novel implanted device to wirelessly record and analyze continuous intracranial canine EEG;davis;Epilepsy Research,2011

5. Seizure prediction: the long and winding road

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