MSMGE-CNN: a multi-scale multi-graph embedding convolutional neural network for motor related EEG decoding

MSMGE-CNN: a multi-scale multi-graph embedding convolutional neural network for motor related EEG decoding

Deep learning technique has been widely used for decoding motor related electroencephalography (EEG) signals, which has considerably driven the development of motor related brain–computer interfaces (BCIs). However, traditional convolutional neural networks (CNNs) cannot fully represent spatial topo...

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Bibliographic Details
Main Authors: Binren Wang, Minmin Miao, Ke Zhang, Wenzhe Liu, Zhenzhen Sheng, Baoguo Xu, Wenjun Hu
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Machine Learning: Science and Technology
Subjects:
multi-scale
multi-graph embedding
motor imagery
brain-computer interface
EEG classification
Online Access:https://doi.org/10.1088/2632-2153/ad9135
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https://doi.org/10.1088/2632-2153/ad9135

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