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

Abstract

Metadata

Item Type: Article
Authors/Creators:
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:
  • Published: March 2021
  • Published (online): 31 July 2020
  • Accepted: 20 July 2020
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:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/I011056/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/H00453X/1
NORWEGIAN RESEARCH COUNCIL
UNSPECIFIED
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: 10.1109/tbme.2020.3013545
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics