Bispectrum-based feature extraction technique for devising a practical brain-computer interface

Journal of Neural Engineering

Volumn 8, Issue 2, 2011, Pages

  Shahid, Shahjahan ^a   Prasad, Girijesh ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BISPECTRUM; BRAIN STATE; CLASSIFICATION ACCURACY; COMPUTER INTERFACES; EEG SIGNALS; FEATURE EXTRACTION TECHNIQUES; FREQUENCY COMPONENTS; GAUSSIANS; HIGHER ORDER STATISTICS; LINEAR CHARACTERISTICS; LINEAR DISCRIMINANT ANALYSIS; MOTOR IMAGERY; MUTUAL INFORMATIONS; NON-GAUSSIAN; NONLINEAR DYNAMIC CHARACTERISTICS; NONLINEAR INTERACTIONS; NONSTATIONARY; PERFORMANCE MEASURE; SIGNAL PROCESSING TECHNIQUE; TASK DETECTION;

DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; INTERFACES (COMPUTER); POWER SPECTRAL DENSITY; SIGNAL DETECTION; SIGNAL PROCESSING;

BRAIN COMPUTER INTERFACE;

ACCURACY; BISPECTRUM BASED FEATURE EXTRACTION TECHNIQUE; BRAIN COMPUTER INTERFACE; CLASSIFIER; CONFERENCE PAPER; ELECTROCARDIOGRAM; EXTRACTION; IMAGERY; INFORMATION PROCESSING; KERNEL METHOD; MOTOR CORTEX; PRIORITY JOURNAL; SIGNAL PROCESSING; SPECTROMETRY; STATISTICAL ANALYSIS; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN MAPPING; COMPUTER INTERFACE; ELECTROENCEPHALOGRAPHY; EVOKED MUSCLE RESPONSE; EVOKED RESPONSE; HUMAN; IMAGINATION; METHODOLOGY; PHYSIOLOGY;

ALGORITHMS; BRAIN MAPPING; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; EVOKED POTENTIALS, MOTOR; HUMANS; IMAGINATION; MOTOR CORTEX; PATTERN RECOGNITION, AUTOMATED; USER-COMPUTER INTERFACE;

EID: 79954520835     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/8/2/025014     Document Type: Conference Paper

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