Relation Learning Using Temporal Episodes for Motor Imagery Brain-Computer Interfaces

Relation Learning Using Temporal Episodes for Motor Imagery Brain-Computer Interfaces

For practical motor imagery (MI) brain-computer interface (BCI) applications, generating a reliable model for a target subject with few MI trials is important since the data collection process is labour-intensive and expensive. In this paper, we address this issue by proposing a few-shot learning me...

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Bibliographic Details
Main Authors: Xiuyu Huang, Shuang Liang, Yuanpeng Zhang, Nan Zhou, Witold Pedrycz, Kup-Sze Choi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Motor imagery
brain-computer interface
temporal encoding
episode training
Online Access:https://ieeexplore.ieee.org/document/9978669/
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