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dc.contributor.authorREILLY, RICHARDen
dc.contributor.authorLALOR, EDMUNDen
dc.date.accessioned2008-06-23T15:34:50Z
dc.date.available2008-06-23T15:34:50Z
dc.date.issued2005en
dc.date.submitted2005en
dc.identifier.citationKelly, S.P. and Lalor, E.C. and Reilly, R.B. and Foxe, J.J., Visual spatial attention tracking using high-density SSVEP data for independent brain-computer communication, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 13, 2, 2005, 172, 178en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/17621
dc.descriptionPUBLISHEDen
dc.descriptionPMID: 16003896en
dc.description.abstractThe steady-state visual evoked potential (SSVEP) has been employed successfully in (BCI) research, but its use in a design entirely independent of eye movement has until recently not been reported. This paper presents strong evidence suggesting that the SSVEP can be used as an electrophysiological correlate of visual spatial attention that may be harnessed on its own or in conjunction with other correlates to achieve control in an independent BCI. In this study, 64-channel electroencephalography data were recorded from subjects who covertly attended to one of two bilateral flicker stimuli with superimposed letter sequences. Offline classification of left/right spatial attention was attempted by extracting SSVEPs at optimal channels selected for each subject on the basis of the scalp distribution of SSVEP magnitudes. This yielded an average accuracy of approximately 71% across ten subjects (highest 86%) comparable across two separate cases in which flicker frequencies were set within and outside the alpha range respectively. Further, combining SSVEP features with attention-dependent parieto-occipital alpha band modulations resulted in an average accuracy of 79% (highest 87%).en
dc.format.extent172en
dc.format.extent178en
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.relation.ispartofseriesIEEE Transactions on Neural Systems and Rehabilitation Engineeringen
dc.relation.ispartofseries13en
dc.relation.ispartofseries2en
dc.rightsYen
dc.subjectsteady-state visual evoked potentialen
dc.subjectbrain-computer interfaceen
dc.titleVisual spatial attention tracking using high-density SSVEP data for independent brain-computer communicationen
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/reillyrien
dc.identifier.peoplefinderurlhttp://people.tcd.ie/edlaloren
dc.identifier.rssinternalid51849en
dc.identifier.rssurihttp://ieeexplore.ieee.org/iel5/7333/31004/01439542.pdf?tp=&isnumber=31004&arnumber=1439542&punumber=7333
dc.identifier.rssurihttp://ieeexplore.ieee.org/iel5/7333/31004/01439542.pdf?tp=&isnumber=31004&arnumber=1439542&punumber=7333en


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