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Updated: Jun 25, 2025

Equipment Setup and Artifact Removal for Simultaneous Electroencephalogram and Functional Magnetic Resonance Imaging for Clinical Review in Epilepsy
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在EEG上使用时空特征融合预测发作

Dezan Ji1,2, Landi He1,2, Xingchen Dong1,2

  • 1School of Integrated Circuits, Shandong University, Jinan 250100, P. R. China.

International journal of neural systems
|May 21, 2024
PubMed
概括

这项研究引入了一种新的图形注意力网络 (GAT) 和时间卷积网络 (TCN) 模型,用于使用脑电图 (EEG) 空间时间特征准确预测发作.

关键词:
电脑电图 (电脑电图) 是一种脑电图.图表注意力网络图表注意力网络时间卷积网络 时间卷积网络发作预测预测预测

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相关概念视频

Seizures: Classification01:13

Seizures: Classification

Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
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