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Importance of the Quantitative Change of EEG Theta/Beta Ratio Between Preparation and Motor Imagery: Correlation with the Performance of Classification.
Joung-Woo Hyung
Seho Lee
Hakseung Kim
Dong-Joo Kim
Published in:
BCI (2022)
Keyphrases
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motor imagery
eeg signals
brain computer interface
eeg data
online training
worst case
support vector
signal processing
blind source separation
feature space
hidden markov models
machine learning
pattern classification
pattern recognition
training data
feature extraction
feature selection