An efficient hybrid linear and kernel CSP approach for EEG feature extraction

Neurocomputing

Volumn 73, Issue 1-3, 2009, Pages 432-437

  Nasihatkon, Behrooz ^a   Boostani, Reza ^a   Jahromi, Mansoor Zolghadri ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

Common spatial patterns; EEG classification; Kernel method

Indexed keywords

COMMON SPATIAL PATTERNS; EEG CLASSIFICATION; EFFECTIVE SOLUTION; GENERALIZATION ABILITY; KERNEL FUNCTION; KERNEL METHOD; KERNEL METHODS; LINEAR PATTERNS; LOW-DIMENSIONAL SPACES; NON-LINEARITY; SPATIAL PATTERNS;

COMPUTER OPERATING PROCEDURES; ELECTROENCEPHALOGRAPHY;

FEATURE EXTRACTION;

ACCURACY; ALGORITHM; ARTICLE; BRAIN FUNCTION; CLASSIFICATION; ELECTROENCEPHALOGRAM; KERNEL METHOD; LEARNING; MATHEMATICAL COMPUTING; NONLINEAR SYSTEM; PRIORITY JOURNAL; SIGNAL DETECTION; SIGNAL NOISE RATIO;

EID: 70350735985     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.07.012     Document Type: Article

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