A Multi-Domain Convolutional Neural Network for EEG-Based Motor Imagery Decoding

A Multi-Domain Convolutional Neural Network for EEG-Based Motor Imagery Decoding

Motor imagery (MI) decoding plays a crucial role in the advancement of electroencephalography (EEG)-based brain-computer interface (BCI) technology. Currently, most researches focus on complex deep learning structures for MI decoding. The growing complexity of networks may result in overfitting and...

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Bibliographic Details
Main Authors: Hongyi Zhi, Zhuliang Yu, Tianyou Yu, Zhenghui Gu, Jian Yang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Brain–computer interface (BCI)
electroencephalography (EEG)
motor imagery (MI)
convolutional neural network (CNN)
center loss
Online Access:https://ieeexplore.ieee.org/document/10275093/

Internet

https://ieeexplore.ieee.org/document/10275093/

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