Automated seizure detection in epilepsy using a novel dynamic temporal-spatial graph attention network

Automated seizure detection in epilepsy using a novel dynamic temporal-spatial graph attention network

Abstract Epilepsy is a neurological disorder characterized by recurrent seizures caused by excessive electrical discharges in brain cells, posing significant diagnostic and therapeutic challenges. Dynamic brain network analysis via electroencephalography (EEG) has emerged as a powerful tool for capt...

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Bibliographic Details
Main Authors: Kunxian Yan, Xiangyu Luo, Lei Ye, Wenping Geng, Jian He, Jiliang Mu, Xiaojuan Hou, Xiang Zan, Jiuhong Ma, Fei Li, Le Zhang, Xiujian Chou
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Epilepsy
Temporal-spatial
Deep learning
Electroencephalogram (EEG)
Online Access:https://doi.org/10.1038/s41598-025-01015-0
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https://doi.org/10.1038/s41598-025-01015-0

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