000163954 001__ 163954
000163954 005__ 20190812205506.0
000163954 020__ $$a978-1-4244-4141-9
000163954 02470 $$2ISI$$a000298735800068
000163954 037__ $$aCONF
000163954 245__ $$aCombining Discriminant and Topographic Information in BCI: Preliminary Results on Stroke Patients
000163954 260__ $$bIeee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa$$c2011
000163954 269__ $$a2011
000163954 336__ $$aConference Papers
000163954 490__ $$aInternational IEEE EMBS Conference on Neural Engineering
000163954 520__ $$aNon–Invasive Brain–Computer Interfaces (BCI) convey a great potential in the field of stroke rehabilitation, where the continuous monitoring of mental tasks execution could support the positive effects of standard therapies. In this paper we combine time-frequency analysis of EEG with the topographic analysis to identify and track task–related patterns of brain activity emerging during a single BCI session. 6 Stroke patients executed Motor Imagery of the affected and unaffected hands: EEG sites were ranked depending on their discriminant power (DP) at different time instants and the resulting discriminant periods were used as a prior to extract EEG Microstates. Results show that the combination of these two techniques can provide insights about specific motor–related processes happening at a fine grain temporal resolution. Such events, represented by EEG microstates, can be tracked and used both to quantify changes of underlying neural structures and to provide feedback to patients and therapists.
000163954 6531_ $$a[TOBI]
000163954 6531_ $$aStroke Rehabilitation
000163954 6531_ $$aBrain-Computer Interfaces
000163954 6531_ $$aEEG Microstates
000163954 700__ $$0242184$$g196234$$aBiasiucci, Andrea
000163954 700__ $$aChavarriaga, Ricardo
000163954 700__ $$aHamner, Benjamin
000163954 700__ $$0242179$$g192497$$aLeeb, Robert
000163954 700__ $$aPichiorri, Floriana
000163954 700__ $$aDe Vico Fallani, Fabrizio
000163954 700__ $$aMattia, Donatella
000163954 700__ $$g149175$$aMillán, José del R.$$0240030
000163954 7112_ $$dApril 27 - May 1, 2011$$cCancun, Mexico$$a5th International IEEE EMBS Conference on Neural Engineering
000163954 773__ $$t2011 5Th International Ieee/Embs Conference On Neural Engineering (Ner)$$q290-293
000163954 8564_ $$zURL$$uhttp://ne2011.embs.org/
000163954 8564_ $$zn/a$$yn/a$$uhttps://infoscience.epfl.ch/record/163954/files/BiasiucciChHaLePiDeMaMi11.pdf$$s821173
000163954 909C0 $$xU12103$$pCNBI$$0252018
000163954 909C0 $$0252517$$xU12599$$pCNP
000163954 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.tind.io:163954
000163954 917Z8 $$x196234
000163954 917Z8 $$x196234
000163954 917Z8 $$x137762
000163954 917Z8 $$x137762
000163954 917Z8 $$x137762
000163954 917Z8 $$x137762
000163954 937__ $$aEPFL-CONF-163954
000163954 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000163954 980__ $$aCONF