IMR Press / JIN / Volume 20 / Issue 2 / DOI: 10.31083/j.jin2002042
Open Access Brief Report
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: (Yabing Li)
J. Integr. Neurosci. 2021, 20(2), 411–417;
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 (

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 < 0.05) with paired t-test. Furthermore, these microstate parameters are utilized as features. Support vector machine is utilized to classify the two tasks with a mean accuracy of 93.93%, which yielded superior performance compared to the other methods.

Motor imagery
Microstate parameters
Teager energy operator
EEG signals
Fig. 1.
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