Adaptive Laplacian filtering for sensorimotor rhythm-based brain-computer interfaces

Journal of Neural Engineering

Volumn 10, Issue 1, 2013, Pages

  Lu, Jun ^a   McFarland, Dennis J ^b   Wolpaw, Jonathan R ^b  

^a GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^b STATE UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; COMMON SPATIAL PATTERNS; ELECTRO-ENCEPHALOGRAM (EEG); GRADIENT DESCENT METHOD; LEAVE-ONE-OUT CROSS VALIDATIONS; REGULARIZATION PARAMETERS; SENSORIMOTOR CORTEX; SPATIAL FILTERING METHODS;

ELECTROENCEPHALOGRAPHY; HANDICAPPED PERSONS; INTERFACES (COMPUTER); LAPLACE TRANSFORMS; OPTIMIZATION; REGRESSION ANALYSIS;

BRAIN COMPUTER INTERFACE;

ALGORITHM; ARTICLE; BRAIN COMPUTER INTERFACE; BRAIN DEPTH STIMULATION; COMMON AVERAGE REFERENCE; COMMON SPATIAL PATTERN; COMPARATIVE STUDY; ELECTROENCEPHALOGRAM; ELECTROMYOGRAM; ELECTROOCULOGRAM; KERNEL METHOD; LAPLACIAN FILTER; NERVOUS SYSTEM PARAMETERS; PREDICTION; PRIORITY JOURNAL; SENSORIMOTOR CORTEX; SENSORIMOTOR FUNCTION; SENSORIMOTOR RHYTHM; SENSORY GATING; SIGNAL NOISE RATIO;

ALGORITHMS; BRAIN-COMPUTER INTERFACES; ELECTROENCEPHALOGRAPHY; FILTRATION; HUMANS; MODELS, NEUROLOGICAL; MOTOR CORTEX; NORMAL DISTRIBUTION; PRESSURE; PSYCHOMOTOR PERFORMANCE; REPRODUCIBILITY OF RESULTS;

EID: 84875384616     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/10/1/016002     Document Type: Article

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