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Updated: Jun 29, 2026

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients
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Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

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基于EEG的预测使用混合密集网络-ViT网络,注意融合

Shasha Yuan1, Kuiting Yan1, Shihan Wang1

  • 1School of Computer Science, Qufu Normal University, Rizhao 276826, China.

Brain sciences
|August 29, 2024
PubMed
概括

这项研究引入了一种混合深度学习模型,将DenseNet和Vision Transformer (ViT) 结合起来,用于发作预测. 这种新的方法显著提高了预测准确性,并有助于治疗干预.

关键词:
在DenseNet中,使用的是DenseNet.在STFT,STFT和STFT中使用.混合型 混合型 混合型 混合型抢劫预测预测的预测视觉变压器 视觉变压器

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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: