Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines

Computers in Biology and Medicine

Volumn 38, Issue 1, 2008, Pages 14-22

  Derya Übeyli, Elif ^a  

^a TOBB UNIVERSITY OF ECONOMICS AND TECHNOLOGY   (Turkey)

Author keywords

Eigenvector methods; Electroencephalogram (EEG) signals; Multiclass support vector machine (SVM)

Indexed keywords

DECISION MAKING; EIGENVALUES AND EIGENFUNCTIONS; ELECTROENCEPHALOGRAPHY; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES;

EIGENVECTOR METHODS; ELECTROENCEPHALOGRAM (EEG) SIGNALS; MULTICLASS SUPPORT VECTOR MACHINE (SVM);

BIOELECTRIC PHENOMENA;

ANALYTICAL ERROR; ARTICLE; DECISION MAKING; ELECTROENCEPHALOGRAM; HUMAN; PATTERN RECOGNITION; PRIORITY JOURNAL; SIGNAL PROCESSING; SUPPORT VECTOR MACHINE; TECHNIQUE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; NEURAL NETWORKS (COMPUTER); ROC CURVE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 37049007663     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2007.06.002     Document Type: Article

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