A multi-view CNN encoding for motor imagery EEG signals

Zhang, J and Li, K orcid.org/0000-0001-6657-0522 (Cover date: August 2023) A multi-view CNN encoding for motor imagery EEG signals. Biomedical Signal Processing and Control, 85. 105063. ISSN 1746-8094



Copyright, Publisher and Additional Information: © 2023 Elsevier Ltd. This is an author produced version of an article published in Biomedical Signal Processing and Control. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Motor imagery, Electroencephalography, Convolutional neural network
  • Accepted: 23 May 2023
  • Published: 6 June 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 31 May 2023 11:33
Last Modified: 26 Jul 2023 14:48
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.bspc.2023.105063


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Embargoed until: 6 June 2024

Filename: A_Multi_View_CNN_Encoding_for_Motor_Imagery_EEG_Signals_BSPC__Revised_Version_submitted.pdf

Licence: CC-BY-NC-ND 4.0

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