P300 brain computer interface: Current challenges and emerging trends

Frontiers in Neuroengineering

Volumn , Issue JUNE, 2012, Pages 1-30

  Fazel Rezai, Reza ^a   Allison, Brendan Z ^b   Guger, Christoph ^c   Sellers, Eric W ^d   Kleih, Sonja C ^e   Kübler, Andrea ^e  

^a University of North Dakota   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c G TEC MEDICAL ENGINEERING GMBH   (Austria)

^d EAST TENNESSEE STATE UNIVERSITY   (United States)

^e UNIVERSITY OF WÜRZBURG   (Germany)

Author keywords

Brain computer interface; Event related potential; P300

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BIOTECHNOLOGICAL PROCEDURES; BRAIN COMPUTER INTERFACE; BRAIN DEPTH STIMULATION; CHECKERBOARD PARADIGM; COMPUTER INTERFACE; COMPUTER NETWORK; ELECTROENCEPHALOGRAM; EVENT RELATED POTENTIAL; EVOKED VISUAL RESPONSE; GAME; HUMAN; INFORMATION PROCESSING; REGION BASED PARADIGM; REVIEW; SIGNAL PROCESSING; SINGLE CHARACTER SPELLER; STEADY STATE EVOKED VISUAL RESPONSE; SUPPORT VECTOR MACHINE; VIRTUAL REALITY; VISUAL ANALOG SCALE; VISUAL FEEDBACK; VISUAL INFORMATION; ARTICLE; ATTENTIONAL BLINK; INTERMETHOD COMPARISON; RELIABILITY; SIGNAL DETECTION; SOCIAL NETWORK; VALIDATION PROCESS; VISUAL STIMULATION;

EID: 84864392019     PISSN: 16626443     EISSN: None     Source Type: Journal    
DOI: 10.3389/fneng.2012.00014     Document Type: Review

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