TDLNet: Transfer Data Learning Network for Cross-Subject Classification Based on Multiclass Upper Limb Motor Imagery EEG
Author:
Affiliation:
1. School of Automation, Beijing University of Posts and Telecommunications, Beijing, China
Funder
Beijing Municipal Natural Science Foundation
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/10031624/10275048.pdf?arnumber=10275048
Reference43 articles.
1. A Single-Channel Consumer-Grade EEG Device for Brain–Computer Interface: Enhancing Detection of SSVEP and Its Amplitude Modulation
2. EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning
3. Spiking Neural Networks applied to the classification of motor tasks in EEG signals
4. A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification
5. Error Correction Regression Framework for Enhancing the Decoding Accuracies of Ear-EEG Brain–Computer Interfaces
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