How many people are able to control a P300-based brain-computer interface (BCI)?

Neuroscience Letters

Volumn 462, Issue 1, 2009, Pages 94-98

  Guger, Christoph ^a   Daban, Shahab ^a,b   Sellers, Eric ^d   Holzner, Clemens ^a   Krausz, Gunther ^a   Carabalona, Roberta ^c   Gramatica, Furio ^c   Edlinger, Guenter ^a  

^a G TEC MEDICAL ENGINEERING GMBH   (Austria)

^b UNIVERSITY OF APPLIED SCIENCES UPPER AUSTRIA   (Austria)

^c IRCCS FONDAZIONE DON CARLO GNOCCHI   (Italy)

^d EAST TENNESSEE STATE UNIVERSITY   (United States)

Author keywords

Brain computer interface (BCI); Electroencephalogram (EEG); P300 potential; Rehabilitation; Spelling device

Indexed keywords

ACCURACY; ADULT; AGE; AMYOTROPHIC LATERAL SCLEROSIS; ARTICLE; BRAIN COMPUTER INTERFACE; CIGARETTE SMOKING; COFFEE; COMMUNICATION DISORDER; COMPUTER; COMPUTER SYSTEM; CONTROLLED STUDY; DISABILITY SEVERITY; EDUCATIONAL STATUS; ELECTROENCEPHALOGRAPHY; EVENT RELATED POTENTIAL; FEMALE; HUMAN; IMAGERY; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; MEDICAL INSTRUMENTATION; PRIORITY JOURNAL; QUESTIONNAIRE; SEX DIFFERENCE; SLEEP TIME; SPELLING; TASK PERFORMANCE; TRAINING; VELOCITY; WHEELCHAIR; WORKING TIME;

ADULT; BIOFEEDBACK (PSYCHOLOGY); BRAIN; ELECTROENCEPHALOGRAPHY; EVENT-RELATED POTENTIALS, P300; FEMALE; HUMANS; MALE; NEUROPSYCHOLOGICAL TESTS; PRACTICE (PSYCHOLOGY); QUESTIONNAIRES; SIGNAL PROCESSING, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE; WRITING;

EID: 67650496990     PISSN: 03043940     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neulet.2009.06.045     Document Type: Article

References (17)

1. Birbaumer N., Ghanayim N., Hinterberger T., Iversen I., Kotchoubey B., Kübler A., Perelmouter J., Taub E., and Flor H. A spelling device for the paralysed. Nature 398 (1999) 297-298
2. Friman O., Volosyak I., and Graser A. Multiple channel detection of steady-state visual evoked potentials for brain-computer interfaces. IEEE Trans. Biomed. Eng. 54 (2007) 742-750
3. Guan C., Thulasidas M., and Wu J. High performance P300 speller for brain-computer interface. Proc. IEEE Int. Workshop on Biomedical Circuits Systems (2004) S3-5-S316
4. Guger C., Edlinger G., Harkam W., Niedermayer I., and Pfurtscheller G. How many people are able to operate an EEG-based brain-computer interface ?. IEEE Trans. Neural Syst. Rehab. Eng. 11 (2003) 145-147
5. Guger C., Holzner C., Grönegress C., Edlinger G., and Slater M. Control of a smart home with a brain-computer interface. Proceedings of the 4th International Brain-Computer Interface Workshop and Training Course 2008. September 18-21 (2008) 339-342
6. Guger C., Schlögl A., Neuper C., Walterspacher D., Strein T., and Pfurtscheller G. Rapid prototyping of an EEG-based brain-computer interface (BCI). IEEE Trans. Rehab. Eng. 9 1 (2001) 49-58
7. Krusienski D., Sellers E., Cabestaing F., Bayoudh S., McFarland D., Vaughan T., and Wolpaw J. A comparison of classification techniques for the P300 Speller. J. Neural Eng. 6 (2006) 299-305
8. Lin Z., Zhang C., Wu W., and Gao X. Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs. IEEE Trans. Biomed. Eng. 54 6 (2007) 1172-1176
9. Neuper C., Scherer R., Wriessnegger S., and Pfurtscheller G. Motor imagery and action observation: modulation of sensorimotor brain rhythms during mental control of a brain-computer interface. Clin. Neurophysiol. 120 2 (2009) 239-247
10. Nijboer F., Sellers E.W., Mellinger J., Jordan M.A., Matuz T., Furdea A., Halder S., Mochty U., Krusienski D.J., Vaughan T.M., Wolpaw J.R., Birbaumer N., and Kübler A. A P300-based brain-computer interface for people with amyotrophic lateral sclerosis. Clin. Neurophysiol. 119 8 (2008) 1909-1916
11. Pfurtscheller G., Leeb R., Keinrath C., Friedman D., Neuper C., Guger C., and Slater M. Walking from thought. Brain Res. 1071 1 (2006) 145-152
12. Santana-Vargas A.D., Pérez M.L., and Ostrosky-Solís F. Communication based on the P300 component of event-related potentials: a proposal for a matrix with images. Rev. Neurol. 43 11 (2006) 653-658
13. Sellers E.W., Krusienski D.J., McFarland D.J., Vaughan T.M., and Wolpaw J.R. A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance. Biol. Psychol. 73 3 (2006) 242-252
14. E.W. Sellers, G. Townsend, C. Boulay, B.K. LaPallo, T.M. Vaughan, J.R. Wolpaw, The P300 brain-computer interface: a new stimulus presentation paradigm, 778.21, Abstract Viewer/Itinerary Planner, Society for Neuroscience, Washington, DC, Online, 2008.
15. Serby H., Yom-Tov E., and Inbar G.F. An improved P300-based brain-computer interface. IEEE Trans. Neural Syst. Rehab. Eng. 13 1 (2005) 89-98
16. Wolpaw J.R., Birbaumer N., McFarland D.J., Pfurtscheller G., and Vaughan T.M. Brain-computer interfaces for communication and control. Clin. Neurophysiol. 113 (2002) 767-791
17. Zhang H., Guan C., and Wang C. Asynchronous P300-based brain-computer interfaces: a computational approach with statistical models. IEEE Trans. Biomed. Eng. 55 6 (2008) 1754-1763