Subdomain Adversarial Network for Motor Imagery EEG Classification Using Graph Data

Author:

Li Xingchen1ORCID,Tang Xianlun2ORCID,Qiu Sichao3,Deng Xin1ORCID,Wang Huiming2ORCID,Tian Yin4

Affiliation:

1. College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

2. Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China

3. Sichuan Academy of Aerospace Technology, Chengdu, China

4. Bio-information College, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation Project of Chongqing

Science and Technology Research Program of Chongqing Municipal Education Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

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5. Subject-Independent Deep Architecture for EEG-Based Motor Imagery Classification;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

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