Dynamic Functional Connectivity Neural Network for Epileptic Seizure Prediction Using Multi-Channel EEG Signal-Reference-Cited by-同舟云学术

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Dynamic Functional Connectivity Neural Network for Epileptic Seizure Prediction Using Multi-Channel EEG Signal

Published:2024 Issue: Volume:31 Page:1499-1503
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Xu Tao¹^ORCID,Wu Yajing²^ORCID,Tang Yongqiang²^ORCID,Zhang Wensheng²^ORCID,Cui Zhihua¹^ORCID

Affiliation:

1. Shanxi Key Laboratory of Big Data Analysis and Parallel Computing, Taiyuan University of Science and Technology, Taiyuan, China

2. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Key Research & Development Program of China

National Natural Science Foundation of China

Shandong Naoli Artificial Intelligence Tech. Company, Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/97/10380231/10529534.pdf?arnumber=10529534

Reference26 articles.

1. Efficient Epileptic Seizure Prediction Based on Deep Learning

2. Seizure Prediction Methods: A Review of the Current Predicting Techniques

3. Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review

4. Seizure prediction: the long and winding road

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