Deep Learning for Epileptic Seizure Detection Using a Causal-Spatio-Temporal Model Based on Transfer Entropy

Deep Learning for Epileptic Seizure Detection Using a Causal-Spatio-Temporal Model Based on Transfer Entropy

Drug-resistant epilepsy is frequent, persistent, and brings a heavy economic burden to patients and their families. Traditional epilepsy detection methods ignore the causal relationship of seizures and focus on a single time or spatial dimension, and the effect varies greatly in different patients....

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Bibliographic Details
Main Authors: Jie Sun, Jie Xiang, Yanqing Dong, Bin Wang, Mengni Zhou, Jiuhong Ma, Yan Niu
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Entropy
Subjects:
epilepsy detection
transfer entropy
graph attention network
bi-directional long short-term memory network
spatiotemporal correlation
Online Access:https://www.mdpi.com/1099-4300/26/10/853

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https://www.mdpi.com/1099-4300/26/10/853

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