Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

Y Yang, S Chevallier, J Wiart, I Bloch - Biomedical Signal Processing and …, 2017 - Elsevier
The essential task of a motor imagery brain–computer interface (BCI) is to extract the motor
imagery-related features from electroencephalogram (EEG) signals for classifying motor …
被引用次数：80 相关文章

Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

Y Yang, S Chevallier, J Wiart, I Bloch - Biomedical Signal Processing …, 2017 - hal.uvsq.fr
The essential task of a motor imagery brain–computer interface (BCI) is to extract the motor
imagery-related features from electroencephalogram (EEG) signals for classifying motor …

Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

Y Yang, S Chevallier, J Wiart, I Bloch - Biomedical Signal Processing …, 2017 - hal.science
The essential task of a motor imagery brain–computer interface (BCI) is to extract the motor
imagery-related features from electroencephalogram (EEG) signals for classifying motor …

Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

Y Yang, S Chevallier, J Wiart… - … Signal Processing and …, 2017 - experts.illinois.edu
The essential task of a motor imagery brain–computer interface (BCI) is to extract the motor
imagery-related features from electroencephalogram (EEG) signals for classifying motor …

Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

Y Yang, S Chevallier, J Wiart… - … Signal Processing and …, 2017 - scholars.northwestern.edu
The essential task of a motor imagery brain–computer interface (BCI) is to extract the motor
imagery-related features from electroencephalogram (EEG) signals for classifying motor …

Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

Y Yang, S Chevallier, J Wiart… - … Signal Processing and …, 2017 - research.tudelft.nl
The essential task of a motor imagery brain–computer interface (BCI) is to extract the motor
imagery-related features from electroencephalogram (EEG) signals for classifying motor …
[PDF] telecom-paristech.fr

[PDF][PDF] Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

Y Yang, S Chevallier, J Wiart… - … Signal Processing and …, 2017 - perso.telecom-paristech.fr
abstract The essential task of a motor imagery brain–computer interface (BCI) is to extract
the motor imageryrelated features from electroencephalogram (EEG) signals for classifying …

Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

Y Yang, S Chevallier, J Wiart… - … Signal Processing and …, 2017 - telecom-paris.hal.science
The essential task of a motor imagery brain–computer interface (BCI) is to extract the motor
imagery-related features from electroencephalogram (EEG) signals for classifying motor …

Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

Y Yang, S Chevallier, J Wiart… - … Signal Processing and …, 2017 - telecom-paris.hal.science
The essential task of a motor imagery brain–computer interface (BCI) is to extract the motor
imagery-related features from electroencephalogram (EEG) signals for classifying motor …
[PDF] uvsq.fr

[PDF][PDF] Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

Y Yang, S Chevallier, J Wiart, I Bloch - Biomedical Signal Processing …, 2017 - hal.uvsq.fr
The essential task of a motor imagery brain–computer interface (BCI) is to extract the motor
imagery-related features from electroencephalogram (EEG) signals for classifying motor …