Two-branch 3D convolutional neural network for motor imagery EEG decoding
Author:
Funder
National Natural Science Foundation of China
Publisher
IOP Publishing
Subject
Cellular and Molecular Neuroscience,Biomedical Engineering
Link
https://iopscience.iop.org/article/10.1088/1741-2552/ac17d6/pdf
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5. A low-cost lower-limb brain-machine interface triggered by pedaling motor imagery for post-stroke patients rehabilitation;Romero-Laiseca;IEEE Trans. Neural Syst. Rehabil. Eng.,2020
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2. Recognize enhanced temporal-spatial-spectral features with a parallel multi-branch CNN and GRU;Medical & Biological Engineering & Computing;2023-06-09
3. Deep Learning in Motor Imagery Eeg Signal Decoding: A Systematic Review;2023
4. SincNet-Based Hybrid Neural Network for Motor Imagery EEG Decoding;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2022
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