A neural network-based optimal spatial filter design method for motor imagery classification

PLoS ONE

Volumn 10, Issue 5, 2015, Pages

  Yuksel, Ayhan ^a   Olmez, Tamer ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN COMPUTER INTERFACE; CLASSIFICATION ALGORITHM; CLASSIFIER; COMMON SPATIAL PATTERN ALGORITHM; CONTROLLED STUDY; COVARIANCE; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAM SIGNAL; FILTER DESIGN; IMAGERY; INTERMETHOD COMPARISON; MACHINE LEARNING; MOTOR IMAGERY; NONLINEAR SYSTEM; PROCESS OPTIMIZATION; SPATIAL FILTER; SPATIAL FILTER NETWORK; ALGORITHM; ELECTROENCEPHALOGRAPHY; GUIDED IMAGERY; HUMAN; MOTOR ACTIVITY; PHYSIOLOGY;

ALGORITHMS; BRAIN-COMPUTER INTERFACES; ELECTROENCEPHALOGRAPHY; HUMANS; IMAGERY (PSYCHOTHERAPY); MOTOR ACTIVITY; NEURAL NETWORKS (COMPUTER);

EID: 84929103990     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0125039     Document Type: Article

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