A multi-band centroid contrastive reconstruction fusion network for motor imagery electroencephalogram signal decoding

A multi-band centroid contrastive reconstruction fusion network for motor imagery electroencephalogram signal decoding

Motor imagery (MI) brain-computer interface (BCI) assist users in establishing direct communication between their brain and external devices by decoding the movement intention of human electroencephalogram (EEG) signals. However, cerebral cortical potentials are highly rhythmic and sub-band features...

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Bibliographic Details
Main Authors: Jiacan Xu, Donglin Li, Peng Zhou, Chunsheng Li, Zinan Wang, Shenghao Tong
Format: Article
Language:English
Published: AIMS Press 2023-11-01
Series:Mathematical Biosciences and Engineering
Subjects:
brain computer interface (bci)
motor imagery (mi)
electroencephalogram (eeg)
feature reconstruction
feature fusion
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023912?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023912?viewType=HTML

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