Epileptic Seizure Forecasting With Generative Adversarial Networks

Epileptic Seizure Forecasting With Generative Adversarial Networks

Many outstanding studies have reported promising results in seizure forecasting, one of the most challenging predictive data analysis problems. This is mainly because electroencephalogram (EEG) bio-signal intensity is very small, in $\mu \text{V}$ range, and there are significant sensing difficultie...

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Bibliographic Details
Main Authors: Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Damien Querlioz, Luping Zhou, Omid Kavehei
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Epilepsy
seizure forecasting
biomedical signal processing
iEEG
sEEG
adversarial networks
Online Access:https://ieeexplore.ieee.org/document/8853232/

Internet

https://ieeexplore.ieee.org/document/8853232/

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