Deep CNN model based on serial-parallel structure optimization for four-class motor imagery EEG classification

Zhao, X, Liu, D, Ma, L et al. (4 more authors) (2022) Deep CNN model based on serial-parallel structure optimization for four-class motor imagery EEG classification. Biomedical Signal Processing and Control, 72 (Part A). 103338. ISSN 1746-8094

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 Elsevier Ltd. All rights reserved. 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 electroencephalogram (MI-EEG) signal; Deep learning; Convolutional neural network; Serial-parallel (SP) structure; Multi-dimensional feature extraction
Dates:
  • Accepted: 2 November 2021
  • Published (online): 12 November 2021
  • Published: February 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 SocietyIEC\NSFC\191095
Depositing User: Symplectic Publications
Date Deposited: 14 Jan 2022 15:55
Last Modified: 12 Nov 2022 01:13
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.bspc.2021.103338
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