MS-HNN: Multi-Scale Hierarchical Neural Network With Squeeze and Excitation Block for Neonatal Sleep Staging Using a Single-Channel EEG-Reference-Cited by-同舟云学术

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

Published:2023 Issue: Volume:31 Page:2195-2204
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Zhu Hangyu¹^ORCID,Wang Laishuan²,Shen Ning¹,Wu Yonglin¹^ORCID,Feng Shu³,Xu Yan⁴,Chen Chen⁵^ORCID,Chen Wei¹^ORCID

Affiliation:

1. Center for Intelligent Medical Electronics, School of Information Science and Technology, Fudan University, Shanghai, China

2. Department of Neonatology, Children’s Hospital of Fudan University, Shanghai, China

3. Shanghai Engineering Research Center of Ultra Precision Motion Control and Measurement, Academy for Engineering and Technology, Fudan University, Shanghai, China

4. Department of Neurology, National Children’s Medical Center, Children’s Hospital of Fudan University, Shanghai, China

5. Human Phenome Institute, Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

Greater Bay Area Institute of Precision Medicine

Shanghai Municipal Science and Technology International Research and Development Collaboration Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10102335.pdf?arnumber=10102335