Decoding index finger position from EEG using random forests
CIP（2014）
Key words
brain-computer interfaces,decoding,electroencephalography,keyboards,medical signal processing,recording,eeg,a leaveone-subject-out cross-validation procedure,chance-level accuracy,contralateral sensorimotor cortex,frequency 20 hz to 30 hz,index finger position decoding,motor commands,noninvasive electroencephalographic recordings,noninvasively acquired signals,numerical keyboard,random forests,recorded brain activity,spectral features,bcis,beta-rebound,position decoding,random forest,accuracy,vegetation,indexes,radio frequency,brain computer interfaces
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