M-NIG: mobile network information gain for EEG-based epileptic seizure prediction

M-NIG: mobile network information gain for EEG-based epileptic seizure prediction

Abstract Epilepsy is one of the most common cerebral diseases, the development of which can be divided into four states: interictal state, preictal state, ictal state and postictal state. Hunting for critical states is of great significance to predict seizures. This study seeks to establish a genera...

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Bibliographic Details
Main Authors: Yuting Meng, Yi Liu, Guanglei Wang, Huipeng Song, Yiyu Zhang, Jianbo Lu, Peiluan Li, Xu Ma
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Epilepsy
Mobile network information gain
Preictal
Seizure prediction
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Online Access:https://doi.org/10.1038/s41598-025-97696-8
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https://doi.org/10.1038/s41598-025-97696-8

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