Decoding Multi-Brain Motor Imagery From EEG Using Coupling Feature Extraction and Few-Shot Learning

Decoding Multi-Brain Motor Imagery From EEG Using Coupling Feature Extraction and Few-Shot Learning

Electroencephalography (EEG)-based motor imagery (MI) is one of brain computer interface (BCI) paradigms, which aims to build a direct communication pathway between human brain and external devices by decoding the brain activities. In a traditional way, MI BCI replies on a single brain, which suffer...

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Bibliographic Details
Main Authors: Li Zhu, Youyang Liu, Riheng Liu, Yong Peng, Jianting Cao, Junhua Li, Wanzeng Kong
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Few-shot learning
hypergraph
multi-brain brain computer interface
motor imagery
tensor decomposition
Online Access:https://ieeexplore.ieee.org/document/10328637/

Internet

https://ieeexplore.ieee.org/document/10328637/

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