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...
Saved in:
Main Authors: | , , |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|