A Cascade xDAWN EEGNet Structure for Unified Visual-Evoked Related Potential Detection-Reference-Cited by-同舟云学术

A Cascade xDAWN EEGNet Structure for Unified Visual-Evoked Related Potential Detection

Published:2024 Issue: Volume:32 Page:2270-2280
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Wang Hongtao¹^ORCID,Wang Zehui¹,Sun Yu²^ORCID,Yuan Zhen³^ORCID,Xu Tao⁴^ORCID,Li Junhua⁵^ORCID

Affiliation:

1. School of Electronics and Information Engineering, Wuyi University, Jiangmen, China

2. Department of Biomedical Engineering, Key Laboratory for Biomedical Engineering of Ministry of Education of China, Zhejiang University, Hangzhou, Zhejiang, China

3. Faculty of Health Sciences and the Center for Cognitive and Brain Sciences, University of Macau, Taipa, Macau

4. Department of Biomedical Engineering, Shantou University, Shantou, China

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

Funder

Special Projects in Key Fields Supported by the Technology Development Project of Guangdong Province

Wuyi University and Hong Kong and Macao Joint Research Project

Projects for International Scientific and Technological Cooperation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7333/10398877/10559619.pdf?arnumber=10559619

Reference52 articles.

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5. Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces

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