MACNet: A Multidimensional Attention-Based Convolutional Neural Network for Lower-Limb Motor Imagery Classification

MACNet: A Multidimensional Attention-Based Convolutional Neural Network for Lower-Limb Motor Imagery Classification

Decoding lower-limb motor imagery (MI) is highly important in brain–computer interfaces (BCIs) and rehabilitation engineering. However, it is challenging to classify lower-limb MI from electroencephalogram (EEG) signals, because lower-limb motions (LLMs) including MI are excessively close to physiol...

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Bibliographic Details
Main Authors: Ling-Long Li, Guang-Zhong Cao, Yue-Peng Zhang, Wan-Chen Li, Fang Cui
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
electroencephalogram (EEG)
motor imagery classification
CNN
attention mechanism
Online Access:https://www.mdpi.com/1424-8220/24/23/7611
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