An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification

Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) have gained substantial attention, particularly for motor imagery (MI) that facilitates direct brain-to-device communication without any muscular movement. However, existing classification models face limitations such as inter-subject...

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Autors principals:	Aaqib Raza, Mohd Zuki Yusoff
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Brain-computer interface (BCI) electroencephalogram (EEG) motor imagery (MI) classification adaptive CNN unified spatio-temporal attention
Accés en línia:	https://ieeexplore.ieee.org/document/11037490/
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