Subject-Independent Classification of P300 Event-Related Potentials Using a Small Number of Training Subjects-Reference-Cited by-同舟云学术

Subject-Independent Classification of P300 Event-Related Potentials Using a Small Number of Training Subjects

Published:2022-10 Issue:5 Volume:52 Page:843-854
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Abibullaev Berdakh¹^ORCID,Kunanbayev Kassymzhomart²^ORCID,Zollanvari Amin²^ORCID

Affiliation:

1. Department of Robotics and Mechatronics, Nazarbayev University, Nur-Sultan, Kazakhstan

2. Department of Electrical and Computer Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan

Funder

Nazarbayev University Faculty Development Competitive Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/9893152/09837440.pdf?arnumber=9837440

Reference72 articles.

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4. Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network

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

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