A Cross-Space CNN With Customized Characteristics for Motor Imagery EEG Classification

A Cross-Space CNN With Customized Characteristics for Motor Imagery EEG Classification

The classification of motor imagery-electroencephalogram(MI-EEG)based brain-computer interface(BCI)can be used to decode neurological activities, which has been widely applied in the control of external devices. However, two factors still hinder the improvement of classification accuracy and robustn...

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Bibliographic Details
Main Authors: Ying Hu, Yan Liu, Siqi Zhang, Ting Zhang, Bin Dai, Bo Peng, Hongbo Yang, Yakang Dai
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Brain-computer interface (BCI)
motor imagery (MI)
cross-space
customized characteristics
convolutional neural network (CNN)
Online Access:https://ieeexplore.ieee.org/document/10058109/

Internet

https://ieeexplore.ieee.org/document/10058109/

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