SSVEP-DAN: Cross-Domain Data Alignment for SSVEP-Based Brain–Computer Interfaces-Reference-Cited by-同舟云学术

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SSVEP-DAN: Cross-Domain Data Alignment for SSVEP-Based Brain–Computer Interfaces

Published:2024 Issue: Volume:32 Page:2027-2037
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Chen Sung-Yu¹^ORCID,Chang Chi-Min¹^ORCID,Chiang Kuan-Jung²^ORCID,Wei Chun-Shu³^ORCID

Affiliation:

1. Department of Computer Science, National Yang Ming Chiao Tung University (NYCU), Hsinchu, Taiwan

2. Arctop Inc., La Jolla, CA, USA

3. Department of Computer Science, the Institute of Education, and the Institute of Biomedical Engineering, National Yang Ming Chiao Tung University (NYCU), Hsinchu, Taiwan

Funder

National Science and Technology Council

Higher Education Sprout Project of National Yang Ming Chiao Tung University and Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7333/10398877/10537230.pdf?arnumber=10537230

Reference55 articles.

1. Steady-state evoked potentials

2. The steady-state visual evoked potential in vision research: A review

3. Multiclass Steady-State Visual Evoked Potential Frequency Evaluation Using Chirp-Modulated Stimuli

4. Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials

5. Brain-computer interfaces (BCIs) for communication and control

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