Incorporating Neighboring Stimuli Data for Enhanced SSVEP-Based BCIs

Huang, J, Yang, P, Xiong, B et al. (5 more authors) (2022) Incorporating Neighboring Stimuli Data for Enhanced SSVEP-Based BCIs. IEEE Transactions on Instrumentation and Measurement, 71. 2521109. ISSN 0018-9456



Copyright, Publisher and Additional Information: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Brain–computer interfaces (BCIs); neighboring stimuli; spatial filter; steady-state visual evoked potential (SSVEP); target recognition
  • Accepted: 26 October 2022
  • Published (online): 4 November 2022
  • Published: 4 November 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Funding Information:
FunderGrant number
Royal SocietyIE161218
Depositing User: Symplectic Publications
Date Deposited: 31 Oct 2022 13:49
Last Modified: 15 May 2023 15:47
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number:

Share / Export