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Dynamic Functional Connectivity Neural Network for Epileptic Seizure Prediction Using Multi-Channel EEG Signal | |
Xu, Tao1![]() ![]() ![]() ![]() | |
发表期刊 | IEEE Signal Processing Letters
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2024-06 | |
卷号 | 31页码:1499-1503 |
摘要 | Epilepsy, one of the world's most common neurological diseases, impacts over 1% of the global population. Accurate early prediction of epileptic seizure has a great influence on epileptic patients' lives and attracted extensive attention. However, existing methods do not fully consider the complexity of multi-channel electroencephalogram (EEG) signal, which is the most common measurement for epileptic seizures. In this letter, we propose a Dynamic Functional Connectivity neural Network (DynFCNet) for epileptic seizure prediction. The proposed DynFCNet can discover dynamic brain functional connections and generate dynamic functional connectivity graphs, as well as extract non-Euclidean features from multi-channel EEG signals by Graph Convolutional Network (GCN). To take Euclidean features into consideration, Convolutional Neural Network (CNN) as one of the branches is also employed. Further, we incorporated both intra-group loss and inter-group loss to enhance our DynFCNet. Extensive experiments were implemented on a public multi-channel EEG dataset (CHB-MIT). The results confirm that our proposal outperforms the other competitors. |
七大方向——子方向分类 | 脑网络分析 |
国重实验室规划方向分类 | 多尺度信息处理 |
是否有论文关联数据集需要存交 | 是 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57403 |
专题 | 多模态人工智能系统全国重点实验室 |
通讯作者 | Wu, Yajing |
作者单位 | 1.ShanxiKey Laboratory ofBig Data Analysis and Parallel Computing, Taiyuan Universityof Science and Technology,Taiyuan 030024,China 2.State Key Laboratory of Multi-modal Artificial Intelligence Systems, the Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 3.Guangzhou University, Guangzhou,Guangdong,China |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Xu, Tao,Wu, Yajing,Tang, Yongqiang,et al. Dynamic Functional Connectivity Neural Network for Epileptic Seizure Prediction Using Multi-Channel EEG Signal[J]. IEEE Signal Processing Letters,2024,31:1499-1503. |
APA | Xu, Tao,Wu, Yajing,Tang, Yongqiang,Zhang, Wensheng,&Cui, Zhihua.(2024).Dynamic Functional Connectivity Neural Network for Epileptic Seizure Prediction Using Multi-Channel EEG Signal.IEEE Signal Processing Letters,31,1499-1503. |
MLA | Xu, Tao,et al."Dynamic Functional Connectivity Neural Network for Epileptic Seizure Prediction Using Multi-Channel EEG Signal".IEEE Signal Processing Letters 31(2024):1499-1503. |
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2024--SPL--Dynamic_F(2953KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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