Dual Optimization of Deep CNN for Motor Imagery EEG Tasks Classification

The motor imagery (MI) electroencephalographic (EEG) signals are leveraged as control commands to numerus engineering applications, such as operating a wheelchair through thought alone. EEG signals are characterized by their non-stationary nature and high dimensionality, posing noteworthy challenge...

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Bibliographic Details
Main Authors: Ali Al-Saegh, Amar Daood, Mohammad H. Ismail
Format: Article
Language:English
Published: University of Diyala 2024-12-01
Series:Diyala Journal of Engineering Sciences
Subjects:
Online Access:https://mail.djes.info/index.php/djes/article/view/1409
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