Prediction of SSVEP-based BCI performance by the resting-state EEG network

Journal of Neural Engineering

Volumn 10, Issue 6, 2013, Pages

  Zhang, Yangsong ^a   Xu, Peng ^a   Guo, Daqing ^a   Yao, Dezhong ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CANONICAL CORRELATION ANALYSIS; CHARACTERISTIC PATH LENGTHS; CLASSIFICATION ACCURACY; CLUSTERING COEFFICIENT; FUNCTIONAL CONNECTIVITY; PREDICTION PERFORMANCE; RESTING-STATE FUNCTIONAL CONNECTIVITIES; STEADY-STATE VISUAL EVOKED POTENTIALS;

ELECTRIC NETWORK TOPOLOGY; FORECASTING;

BRAIN COMPUTER INTERFACE;

ACCURACY; ADULT; ARTICLE; BRAIN COMPUTER INTERFACE; CLASSIFICATION; CONTROLLED STUDY; CORRELATION ANALYSIS; CORRELATIONAL STUDY; EVOKED VISUAL RESPONSE; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; PREDICTION; PRIORITY JOURNAL; RESTING STATE NETWORK; STEADY STATE VISUAL EVOKED POTENTIAL;

ADULT; BRAIN-COMPUTER INTERFACES; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; FEMALE; FORECASTING; HUMANS; MALE; NERVE NET; PHOTIC STIMULATION; REST; YOUNG ADULT;

EID: 84888992908     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/10/6/066017     Document Type: Article

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