Motor imagery classification using a novel CNN in EEG-BCI with common average reference and sliding window techniques
A popular research area in electroencephalography (EEG) is a brain-computer interface (BCI), which involves the classification of MI tasks. In this work, we proposed a novel convolutional neural network (CNN)-based method to recognize the motor imagery (MI) activities of left and right hand movement...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825001681 |