A Lightweight Segmented Attention Network for Sleep Staging by Fusing Local Characteristics and Adjacent Information-Reference-Cited by-同舟云学术

A Lightweight Segmented Attention Network for Sleep Staging by Fusing Local Characteristics and Adjacent Information

Published:2023 Issue: Volume:31 Page:238-247
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Zhou Wei¹^ORCID,Zhu Hangyu¹^ORCID,Shen Ning¹^ORCID,Chen Hongyu²^ORCID,Fu Cong³,Yu Huan³^ORCID,Shu Feng⁴,Chen Chen⁵^ORCID,Chen Wei⁶^ORCID

Affiliation:

1. Center for Intelligent Medical Electronics (CIME), School of Information Science and Engineering, Fudan University, Shanghai, China

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

3. Department of Neurology, Huashan Hospital, Sleep and Wake Disorders’ Center, Fudan University, Shanghai, China

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

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

6. Center for Intelligent Medical Electronics (CIME), School of Information Science and Engineering, Human Phenome Institute, Fudan University, Shanghai, China

Funder

Shanghai Municipal Science and Technology Major Project

Greater Bay Area Institute of Precision Medicine, Guangzhou

Shanghai Municipal Science and Technology International Research and Development Collaboration Project

National Natural Science Foundation of China

Shanghai Committee of Science and Technology

National Key Research and Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

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