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