000166741 001__ 166741
000166741 005__ 20190812205527.0
000166741 037__ $$aCONF
000166741 245__ $$aSpatio-temporal filtering for EEG error related potentials.
000166741 269__ $$a2011
000166741 260__ $$c2011
000166741 336__ $$aConference Papers
000166741 520__ $$aThis paper presents a new filter for EEG Event-Related Potentials that relies on spatio-temporal features. The results are analyzed with error-related potentials, and compared to the results obtained with Independent Component Analysis. Additionally, the obtained features are used for single-trial classification, showing that it is possible to obtain high classification accuracies with a very low number of features.
000166741 700__ $$aIturrate, Iñaki
000166741 700__ $$aMontesano, Luis
000166741 700__ $$0241256$$g137762$$aChavarriaga, Ricardo
000166741 700__ $$g149175$$aMillán, José del R.$$0240030
000166741 700__ $$aMinguez, Javier
000166741 7112_ $$dSeptember 22-24, 2011$$cGraz, Austria,$$a5th Int Brain-Computer Interface Conference, 2011
000166741 8564_ $$zn/a$$yn/a$$uhttps://infoscience.epfl.ch/record/166741/files/IturrateMoChMiMi11a.pdf$$s1520008
000166741 909C0 $$xU12103$$pCNBI$$0252018
000166741 909C0 $$0252517$$xU12599$$pCNP
000166741 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.tind.io:166741
000166741 917Z8 $$x137762
000166741 917Z8 $$x137762
000166741 937__ $$aEPFL-CONF-166741
000166741 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000166741 980__ $$aCONF