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Brain Sciences
Volume 15
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10.3390/brainsci15020129
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

MSEI-ENet: A Multi-scale EEG-Inception Integrated Encoder Network for Motor Imagery EEG Decoding

by
Pengcheng Wu
,
Keling Fei
*,
Baohong Chen
and
Lizheng Pan
School of Mechanical Engineering and Rail Transit, Changzhou University, Changzhou 213164, China
*
Author to whom correspondence should be addressed.
Brain Sci. 2025, 15(2), 129; https://doi.org/10.3390/brainsci15020129
Submission received: 19 November 2024 / Revised: 9 January 2025 / Accepted: 20 January 2025 / Published: 28 January 2025
(This article belongs to the Section Neurotechnology and Neuroimaging)
Versions Notes

Abstract

Background: Due to complex signal characteristics and distinct individual differences, the decoding of a motor imagery electroencephalogram (MI-EEG) is limited by the unsatisfactory performance of suboptimal traditional models. Methods: A subject-independent model named MSEI-ENet is proposed for multiple-task MI-EEG decoding. It employs a specially designed multi-scale structure EEG-inception module (MSEI) for comprehensive feature learning. The encoder module further helps to detect discriminative information by its multi-head self-attention layer with a larger receptive field, which enhances feature representation and improves recognition efficacy. Results: The experimental results on Competition IV dataset 2a showed that our proposed model yielded an overall accuracy of 94.30%, MF1 score of 94.31%, and Kappa of 0.92. Conclusions: A performance comparison with state-of-the-art methods demonstrated the effectiveness and generalizability of the proposed model on challenging multi-task MI-EEG decoding.
Keywords: multi-scale structure; inception; transformer; motor imagery; brain–computer interface multi-scale structure; inception; transformer; motor imagery; brain–computer interface

Share and Cite

MDPI and ACS Style

Wu, P.; Fei, K.; Chen, B.; Pan, L. MSEI-ENet: A Multi-scale EEG-Inception Integrated Encoder Network for Motor Imagery EEG Decoding. Brain Sci. 2025, 15, 129. https://doi.org/10.3390/brainsci15020129

AMA Style

Wu P, Fei K, Chen B, Pan L. MSEI-ENet: A Multi-scale EEG-Inception Integrated Encoder Network for Motor Imagery EEG Decoding. Brain Sciences. 2025; 15(2):129. https://doi.org/10.3390/brainsci15020129

Chicago/Turabian Style

Wu, Pengcheng, Keling Fei, Baohong Chen, and Lizheng Pan. 2025. "MSEI-ENet: A Multi-scale EEG-Inception Integrated Encoder Network for Motor Imagery EEG Decoding" Brain Sciences 15, no. 2: 129. https://doi.org/10.3390/brainsci15020129

APA Style

Wu, P., Fei, K., Chen, B., & Pan, L. (2025). MSEI-ENet: A Multi-scale EEG-Inception Integrated Encoder Network for Motor Imagery EEG Decoding. Brain Sciences, 15(2), 129. https://doi.org/10.3390/brainsci15020129

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