Dual Head and Dual Attention in Deep Learning for End-to-End EEG Motor Imagery Classification

Dual Head and Dual Attention in Deep Learning for End-to-End EEG Motor Imagery Classification

Event-Related Desynchronization (ERD) or Electroencephalogram (EEG) wavelet is essential for motor imagery (MI) classification and BMI (Brain–Machine Interface) application. However, it is difficult to recognize multiple tasks for non-trained subjects that are indispensable for the complexities of t...

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Bibliographic Details
Main Authors: Meiyan Xu, Junfeng Yao, Hualiang Ni
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
machine learning
brain machine interface
attention
motor imagery
classification
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Online Access:https://doaj.org/article/cafd732462fd4b6ab1780d2922d7139b
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https://doaj.org/article/cafd732462fd4b6ab1780d2922d7139b

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