Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling-Reference-Cited by-同舟云学术

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Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling

Published:2023-10-01 Issue: Volume: Page:196-201
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Li Ziyue¹,Fang Yuchen¹,Li You¹,Ren Kan¹,Wang Yansen¹,Luo Xufang¹,Duan Juanyong¹,Huang Congrui¹,Li Dongsheng¹,Qiu Lili¹

Affiliation:

1. Microsoft

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394628.pdf?arnumber=10394628

Reference31 articles.

1. Amplitude-integrated EEG for detection of neonatal seizures: a systematic review

2. Frequency–moment signatures: A method for automated seizure detection from scalp EEG

3. The PREP pipeline: standardized preprocessing for large-scale EEG analysis

4. Autoreject: Automated artifact rejection for MEG and EEG data

5. Self-supervised graph neural networks for improved electroencephalographic seizure analysis;Tang,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neonatal seizure detection from minimized EEG channels using polynomial compact support distribution and VGG19-BiLSTM hybrid model;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

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