Multi-class EEG classification of voluntary hand movement directions

Journal of Neural Engineering

Volumn 10, Issue 5, 2013, Pages

  Robinson, Neethu ^a   Guan, Cuntai ^b   Vinod, A P ^a   Keng Ang, Kai ^b   Peng Tee, Keng ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

FISHER LINEAR DISCRIMINANTS; INVASIVE TECHNIQUES; LOW-FREQUENCY COMPONENTS; MULTI-CLASS CLASSIFICATION; NONINVASIVE TECHNIQUE; ORTHOGONAL DIRECTIONS; SIGNAL PROCESSING TECHNIQUE; SINGLE-TRIAL CLASSIFICATIONS;

CLASSIFIERS; ELECTRIC ARCS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; FEATURE EXTRACTION; LEARNING SYSTEMS; SIGNAL PROCESSING;

CLASSIFICATION (OF INFORMATION);

ACCURACY; ADULT; ALGORITHM; ARTICLE; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPHY; HAND MOVEMENT; HUMAN; HUMAN EXPERIMENT; NORMAL HUMAN; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SIGNAL PROCESSING; VOLUNTARY MOVEMENT;

ADULT; ALGORITHMS; BIOMECHANICAL PHENOMENA; BRAIN; CUES; DATA INTERPRETATION, STATISTICAL; ELECTRIC STIMULATION; ELECTROENCEPHALOGRAPHY; HAND; HUMANS; MALE; MOVEMENT; NEUROPSYCHOLOGICAL TESTS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; WAVELET ANALYSIS;

EID: 84885447308     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/10/5/056018     Document Type: Article

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