Combination of Reinforcement and Deep Learning for EEG Channel Optimization on Brain-Machine Interface Systems
Author:
Affiliation:
1. Graduate School of Science and Engineering, Hosei University,Tokyo,Japan
2. Hosei University,Department of Mechanical Engineering,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10066849/10066958/10066973.pdf?arnumber=10066973
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1. A comparative study of different artefact removal algorithms for EEG signals acquired during functional MRI
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3. High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton
4. Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing
5. Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography
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