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

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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Bibliographic Details
Main Authors: Aaqib Raza, Mohd Zuki Yusoff
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Brain-computer interface (BCI)
electroencephalogram (EEG)
motor imagery (MI)
classification
adaptive CNN
unified spatio-temporal attention
Online Access:https://ieeexplore.ieee.org/document/11037490/
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https://ieeexplore.ieee.org/document/11037490/

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