Nonlinear modeling of cortical responses to mechanical wrist perturbations using the NARMAX method

Gu, Y., Yang, Y., Dewald, J. et al. (3 more authors) (2021) Nonlinear modeling of cortical responses to mechanical wrist perturbations using the NARMAX method. IEEE Transactions on Biomedical Engineering, 68 (3). pp. 948-958. ISSN 0018-9294

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Copyright, Publisher and Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: EEG; nonlinear system identification; NARMAX; closed-loop system; sensorimotor control
Dates:
  • Accepted: 20 July 2020
  • Published (online): 31 July 2020
  • Published: March 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/I011056/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/H00453X/1
NORWEGIAN RESEARCH COUNCILUNSPECIFIED
Depositing User: Symplectic Sheffield
Date Deposited: 13 Aug 2020 08:37
Last Modified: 24 Jan 2022 14:11
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/tbme.2020.3013545
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