A Novel Deep Learning Scheme for Motor Imagery EEG Decoding Based on Spatial Representation Fusion

A Novel Deep Learning Scheme for Motor Imagery EEG Decoding Based on Spatial Representation Fusion

Motor imagery electroencephalography (MI-EEG), which is an important subfield of active brain-computer interface (BCI) systems, can be applied to help disabled people to consciously and directly control prosthesis or external devices, aiding them in certain daily activities. However, the low signal-...

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Bibliographic Details
Main Authors:	Jun Yang, Zhengmin Ma, Jin Wang, Yunfa Fu
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Brain–computer interface discriminative and representative deep learning feature fusion convolution neural network stacked sparse autoencoder
Online Access:	https://ieeexplore.ieee.org/document/9247162/

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