Riemann-Based Algorithms Assessment for Single- and Multiple-Trial P300 Classification in Non-Optimal Environments-Reference-Cited by-同舟云学术

Riemann-Based Algorithms Assessment for Single- and Multiple-Trial P300 Classification in Non-Optimal Environments

Published:2020-12 Issue:12 Volume:28 Page:2754-2761
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Delgado Juan M. Chau^ORCID,Achanccaray David^ORCID,Villota Elizabeth R.^ORCID,Chevallier Sylvain^ORCID

Funder

CONCYTEC Perú

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Long Short-Term Memory Employed for Classifying P300-Based BCI;2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2024-05-19

5. Efficient Brain-Computer Interface for Attention Detection in Health Care Industry;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18