Predicting Inter-session Performance of SMR-Based Brain–Computer Interface Using the Spectral Entropy of Resting-State EEG

Brain Topography

Volumn 28, Issue 5, 2015, Pages 680-690

  Zhang, Rui ^a   Xu, Peng ^a   Chen, Rui ^a   Li, Fali ^a   Guo, Lanjin ^a   Li, Peiyang ^a   Zhang, Tao ^a   Yao, Dezhong ^a  

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

Author keywords

BCI inefficiency; Biomarker; Brain machine interface (BMI); Classification; Resting state EEG

Indexed keywords

ADULT; APTITUDE; ARTICLE; BRAIN COMPUTER INTERFACE; CLASSIFICATION; ELECTROENCEPHALOGRAPHY; ENTROPY; FEMALE; HUMAN; HUMAN EXPERIMENT; IMAGERY; MALE; NORMAL HUMAN; PERFORMANCE; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RELIABILITY; SENSORIMOTOR FUNCTION; FORECASTING; HAND; IMAGINATION; MOTOR ACTIVITY; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSORY FEEDBACK;

BIOLOGICAL MARKER;

ADULT; BIOMARKERS; BRAIN-COMPUTER INTERFACES; ELECTROENCEPHALOGRAPHY; ENTROPY; FEEDBACK, SENSORY; FEMALE; FORECASTING; HAND; HUMANS; IMAGINATION; MALE; MOTOR ACTIVITY; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 84938744320     PISSN: 08960267     EISSN: 15736792     Source Type: Journal    
DOI: 10.1007/s10548-015-0429-3     Document Type: Article

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