MS-HNN: Multi-Scale Hierarchical Neural Network With Squeeze and Excitation Block for Neonatal Sleep Staging Using a Single-Channel EEG

MS-HNN: Multi-Scale Hierarchical Neural Network With Squeeze and Excitation Block for Neonatal Sleep Staging Using a Single-Channel EEG

Most existing neonatal sleep staging appro- aches applied multiple EEG channels to obtain good performance. However, it potentially increased the computational complexity and led to an increased risk of skin disruption to neonates during data acquisition. In this paper, a multi-scale hierarchical ne...

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Bibliographic Details
Main Authors: Hangyu Zhu, Laishuan Wang, Ning Shen, Yonglin Wu, Shu Feng, Yan Xu, Chen Chen, Wei Chen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Neural network
neonatal sleep staging
squeeze and excitation block
single channel
Online Access:https://ieeexplore.ieee.org/document/10102335/

Internet

https://ieeexplore.ieee.org/document/10102335/

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