A three-branch 3D convolutional neural network for EEG-based different hand movement stages classification

A three-branch 3D convolutional neural network for EEG-based different hand movement stages classification

Abstract Motor Imagery is a classical method of Brain Computer Interaction, in which electroencephalogram (EEG) signal features evoked by the imaginary body movements are recognized, and relevant information is extracted. Recently, various deep learning methods are being focused on finding an easy-t...

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Bibliographic Details
Main Authors:	Tianjun Liu, Deling Yang
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-05-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-021-89414-x

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