On the Deep Learning Models for EEG-Based Brain-Computer Interface Using Motor Imagery

On the Deep Learning Models for EEG-Based Brain-Computer Interface Using Motor Imagery

Motor imagery (MI) based brain-computer interface (BCI) is an important BCI paradigm which requires powerful classifiers. Recent development of deep learning technology has prompted considerable interest in using deep learning for classification and resulted in multiple models. Finding the best perf...

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Bibliographic Details
Main Authors: Hao Zhu, Dylan Forenzo, Bin He
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Brain-computer interface
BCI
deep learning
EEG
motor imagery
Online Access:https://ieeexplore.ieee.org/document/9854857/

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