Multisymbol Time Division Coding for High-Frequency Steady-State Visual Evoked Potential-Based Brain-Computer Interface-Reference-Cited by-同舟云学术

Multisymbol Time Division Coding for High-Frequency Steady-State Visual Evoked Potential-Based Brain-Computer Interface

Published:2022 Issue: Volume:30 Page:1693-1704
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Ye Xiaochen¹^ORCID,Yang Chen¹^ORCID,Chen Yonghao²^ORCID,Wang Yijun³^ORCID,Gao Xiaorong²^ORCID,Zhang Hongxin¹^ORCID

Affiliation:

1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China

2. Department of Biomedical Engineering, Tsinghua University, Beijing, China

3. Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities Beijing University of Posts and Telecommunications

Special Project for Research and Development in Key areas of Guangdong Province

Aeronautical Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

Reference27 articles.

1. Hybrid frequency and phase coding for a high-speed SSVEP-based BCI speller;chen;Proc 36th Annu Int Conf IEEE Eng Med Biol Soc,2014

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