Multi-Domain Based Dynamic Graph Representation Learning for EEG Emotion Recognition-Reference-Cited by-同舟云学术

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Multi-Domain Based Dynamic Graph Representation Learning for EEG Emotion Recognition

Published:2024-09 Issue:9 Volume:28 Page:5227-5238
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Tang Hao¹^ORCID,Xie Songyun¹^ORCID,Xie Xinzhou¹^ORCID,Cui Yujie¹^ORCID,Li Bohan²^ORCID,Zheng Dalu¹^ORCID,Hao Yu¹^ORCID,Wang Xiangming¹^ORCID,Jiang Yiye¹^ORCID,Tian Zhongyu¹^ORCID

Affiliation:

1. School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China

2. Institute of Medical Research, Northwestern Polytechnical University, Xi'an, China

Funder

National Natural Science Foundation of China

Shaanxi Provincial Key R&D Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6221020/10666866/10559216.pdf?arnumber=10559216

Reference59 articles.

1. A novel EEG-based emotion recognition approach for e-healthcare applications

2. EEG Based Emotion Recognition: A Tutorial and Review

3. Fusing Frequency-Domain Features and Brain Connectivity Features for Cross-Subject Emotion Recognition

4. Feature Extraction and Selection for Emotion Recognition from EEG

5. Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks

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