MVBNSleepNet: A Multi-View Brain Network-Based Convolutional Neural Network for Neonatal Sleep Staging

MVBNSleepNet: A Multi-View Brain Network-Based Convolutional Neural Network for Neonatal Sleep Staging

<italic>Goal:</italic> To develop a high-performance and robust solution for neonatal sleep staging that incorporates spatial topological information and functional connectivity of the brain, which are often overlooked in existing approaches. <italic>Methods:</italic> We prop...

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Bibliographic Details
Main Authors: Ligang Zhou, Minghui Liu, Xia Hu, Laishuan Wang, Yan Xu, Chen Chen, Wei Chen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
Brain network
deep learning
EEG
functional connection
neonatal sleep staging
Online Access:https://ieeexplore.ieee.org/document/10914539/
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https://ieeexplore.ieee.org/document/10914539/

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