Epileptic prediction using spatiotemporal information combined with optimal features strategy on EEG

Epileptic prediction using spatiotemporal information combined with optimal features strategy on EEG

ObjectiveEpilepsy is the second most common brain neurological disease after stroke, which has the characteristics of sudden and recurrence. Seizure prediction is seriously important for improving the quality of patients’ lives.MethodsFrom the perspective of multiple dimensions including time-freque...

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Bibliographic Details
Main Authors: Lisha Zhong, Jiangzhong Wan, Fangji Yi, Shuling He, Jia Wu, Zhiwei Huang, Yi Lu, Jiazhang Yang, Zhangyong Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Neuroscience
Subjects:
epilepsy
spatiotemporal features
fuzzy entropy
power spectral density
brain network
EEG
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1174005/full

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