SVM-enhanced attention mechanisms for motor imagery EEG classification in brain-computer interfaces

Brain-Computer Interfaces (BCIs) leverage brain signals to facilitate communication and control, particularly benefiting individuals with motor impairments. Motor imagery (MI)-based BCIs, utilizing non-invasive electroencephalography (EEG), face challenges due to high signal variability, noise, and...

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Bibliographic Details
Main Authors:	Zhenis Otarbay, Abzal Kyzyrkanov
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-07-01
Series:	Frontiers in Neuroscience
Subjects:	brain-computer interface motor imagery EEG classification deep learning convolutional neural network long short-term memory
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2025.1622847/full
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SVM-enhanced attention mechanisms for motor imagery EEG classification in brain-computer interfaces

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