An improved self-supervised learning for EEG classification

An improved self-supervised learning for EEG classification

Motor Imagery EEG (MI-EEG) classification plays an important role in different Brain-Computer Interface (BCI) systems. Recently, deep learning has been widely used in the MI-EEG classification tasks, however this technology requires a large number of labeled training samples which are difficult to o...

Full description

Bibliographic Details
Main Authors: Yanghan Ou, Siqin Sun, Haitao Gan, Ran Zhou, Zhi Yang
Format: Article
Language:English
Published: AIMS Press 2022-05-01
Series:Mathematical Biosciences and Engineering
Subjects:
self-supervised learning
eeg classification
representation learning
motor imagery
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2022325?viewType=HTML

Internet

https://www.aimspress.com/article/doi/10.3934/mbe.2022325?viewType=HTML

Similar Items