A parametric time frequency-conditional Granger causality method using ultra-regularized orthogonal least squares and multiwavelets for dynamic connectivity analysis in EEGs

Li, Y., Lei, M., Cui, W. et al. (2 more authors) (2019) A parametric time frequency-conditional Granger causality method using ultra-regularized orthogonal least squares and multiwavelets for dynamic connectivity analysis in EEGs. IEEE Transactions on Biomedical Engineering. ISSN 0018-9294

Abstract

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Dates:
  • Accepted: 12 March 2019
  • Published (online): 27 March 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 04 Apr 2019 11:06
Last Modified: 27 Mar 2020 01:38
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TBME.2019.2906688

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