Temporal Self-Attentional and Adaptive Graph Convolutional Mixed Model for Sleep Staging-Reference-Cited by-同舟云学术

Temporal Self-Attentional and Adaptive Graph Convolutional Mixed Model for Sleep Staging

Published:2024-04-15 Issue:8 Volume:24 Page:12840-12852
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Chen Ziyang¹,Shi Wenbin¹^ORCID,Zhang Xianchao²^ORCID,Yeh Chien-Hung¹^ORCID

Affiliation:

1. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

2. Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province and the Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province, Jiaxing University, Jiaxing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Open Project of Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province

High-Level Fellow Research Fund Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10500449/10460379.pdf?arnumber=10460379

Reference61 articles.

1. Sleep: A Health Imperative

2. Partial Sleep Deprivation Attenuates the Positive Affective System: Effects Across Multiple Measurement Modalities

3. Chapter 3 An overview of polysomnography

4. The AASM manual for the scoring of sleep and associated events: Rules;Iber,2007

5. A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects.

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. EDA-Graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection;IEEE Journal of Biomedical and Health Informatics;2024-08