Effects of Data Including Visual Presentation and Rest Time on Classification of Motor Imagery of Using Brain-Computer Interface Competition Datasets
Author:
Affiliation:
1. Department of Science of Technology Innovation, Nagaoka University of Technology, Nagaoka, Niigata, Japan
2. Department of Electrical, Electronics and Information Engineering, Nagaoka University of Technology, Nagaoka, Niigata, Japan
Funder
Japan Society for the Promotion of Science
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10148961.pdf?arnumber=10148961
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3. An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces
4. Principal component based covariate shift adaption to reduce non-stationarity in a MEG-based brain-computer interface
5. DWT and CNN based multi-class motor imagery electroencephalographic signal recognition
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