In this paper, the differences
between two motor imagery tasks are captured through microstate parameters
(occurrence, duration and coverage, and mean spatial correlation
(Mspatcorr)) derived from a novel method based on electroencephalogram
microstate and Teager energy operator. The results show that the significance
between microstate parameters for two tasks is different (P
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Exploring differences for motor imagery using Teager energy operator-based EEG microstate analyses
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1
School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, 710121 Xi’an, Shaanxi, China
2
Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, 710121 Xi’an, Shaanxi, China
*Correspondence: liyabing@xupt.edu.cn (Yabing Li)
J. Integr. Neurosci. 2021, 20(2), 411–417;
https://doi.org/10.31083/j.jin2002042
Submitted: 21 December 2020 | Revised: 3 February 2021 | Accepted: 2 March 2021 | Published: 30 June 2021
Copyright: © 2021 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/).
Abstract
Keywords
Motor imagery
Microstate parameters
Teager energy operator
EEG signals
Classifier
Figures
Fig. 1.