Quantifying cognitive state from EEG using dependence measures

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 10, 2012, Pages 2773-2781

  Fadlallah, Bilal ^a   Seth, Sohan ^b,c   Keil, Andreas ^d   Principe, José ^a  

^a University of Florida   (United States)

^b AALTO UNIVERSITY   (Finland)

^c HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY   (Finland)

^d NONE   (United States)

Author keywords

Brain connectivity; correlation; electroencephalogram (EEG); finite impulse response (FIR) least square filter; generalized measure of association (GMA); mutual information (MI); steady state visual evoked potential (ssVEP)

Indexed keywords

BRAIN CONNECTIVITY; GENERALIZED MEASURE OF ASSOCIATION (GMA); LEAST SQUARES; MUTUAL INFORMATIONS; STEADY-STATE VISUAL EVOKED POTENTIALS;

HUMAN COMPUTER INTERACTION; IMPULSE RESPONSE; OPTICAL CORRELATION;

ELECTROENCEPHALOGRAPHY;

ARTICLE; AUTOMATION; CLASSIFICATION; COGNITION; CONTROLLED STUDY; DISCRIMINATIVE STIMULUS; ELECTROENCEPHALOGRAM; EVOKED VISUAL RESPONSE; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; ONLINE SYSTEM; SIGNAL PROCESSING; SIMULATION; STEADY STATE; STIMULUS RESPONSE; VISUAL STIMULATION;

ALGORITHMS; BRAIN MAPPING; COGNITION; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; HUMANS; MALE; SIGNAL PROCESSING, COMPUTER-ASSISTED; STATISTICS, NONPARAMETRIC; YOUNG ADULT;

EID: 84866552236     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2210283     Document Type: Article

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