Decoding Multi-Brain Motor Imagery From EEG Using Coupling Feature Extraction and Few-Shot Learning-Reference-Cited by-同舟云学术

Decoding Multi-Brain Motor Imagery From EEG Using Coupling Feature Extraction and Few-Shot Learning

Published:2023 Issue: Volume:31 Page:4683-4692
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 Li¹^ORCID,Liu Youyang²^ORCID,Liu Riheng³^ORCID,Peng Yong¹^ORCID,Cao Jianting⁴^ORCID,Li Junhua⁵^ORCID,Kong Wanzeng¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Hangzhou, China

2. School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China

3. HDU-ITMO Joint Institute, Hangzhou Dianzi University, Hangzhou, China

4. Graduate School of Engineering, Saitama Institute of Technology, Fukaya, Japan

5. School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K

Funder

National Key Research and Development Program of China

National Science Foundation of China

Key Research and Development Project of Zhejiang Province

Zhejiang Provincial Department of Education Science and Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

Reference38 articles.

4. Semi-supervised classification with graph convolutional networks;kipf;Proc Int Conf Learn Represent,2017

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