Improved Domain Adaptation Network Based on Wasserstein Distance for Motor Imagery EEG Classification

Improved Domain Adaptation Network Based on Wasserstein Distance for Motor Imagery EEG Classification

Motor Imagery (MI) paradigm is critical in neural rehabilitation and gaming. Advances in brain-computer interface (BCI) technology have facilitated the detection of MI from electroencephalogram (EEG). Previous studies have proposed various EEG-based classification algorithms to identify the MI, howe...

Full description

Bibliographic Details
Main Authors: Qingshan She, Tie Chen, Feng Fang, Jianhai Zhang, Yunyuan Gao, Yingchun Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Motor imagery (MI)
deep neural network
electroencephalogram (EEG)
adversarial learning
domain adaptation
machine learning
Online Access:https://ieeexplore.ieee.org/document/10035017/

Internet

https://ieeexplore.ieee.org/document/10035017/

Similar Items