000168291 001__ 168291
000168291 005__ 20190812205534.0
000168291 02470 $$2ISI$$a000298810002079
000168291 037__ $$aCONF
000168291 245__ $$aPhase-based features for Motor Imagery Brain-Computer Interfaces
000168291 269__ $$a2011
000168291 260__ $$bIEEE$$c2011
000168291 336__ $$aConference Papers
000168291 520__ $$aMotor imagery (MI) brain-computer interfaces (BCIs) translate a subject’s motor intention to a command signal. Most MI BCIs use power features in the mu or beta rhythms, while several results have been reported using a measure of phase synchrony, the phase-locking value (PLV). In this study, we investigated the performance of various phasebased features, including instantaneous phase difference (IPD) and PLV, for control of a MI BCI. Patterns of phase synchrony differentially appear over the motor cortices and between the primary motor cortex (M1) and supplementary motor area (SMA) during MI. Offline results, along with preliminary online sessions, indicate that IPD serves as a robust control signal for differentiating between MI classes, and that the phase relations between channels are relatively stable over several months. Offline and online trial-level classification accuracies based on IPD ranged from 84% to 99%, whereas the performance for the corresponding amplitude features ranged from 70% to 100%
000168291 6531_ $$abci
000168291 6531_ $$aeeg
000168291 6531_ $$a[TOBI]
000168291 700__ $$aHamner, Benjamin
000168291 700__ $$0242179$$g192497$$aLeeb, Robert
000168291 700__ $$0242176$$g190287$$aTavella, Michele
000168291 700__ $$0240030$$g149175$$aMillán, José del R.
000168291 7112_ $$dAugust 30-September 3, 2011$$cBoston, USA$$a33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'11)
000168291 773__ $$tProceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
000168291 8564_ $$zn/a$$yn/a$$uhttps://infoscience.epfl.ch/record/168291/files/hamner_embc2011.pdf$$s440752
000168291 909C0 $$xU12103$$pCNBI$$0252018
000168291 909C0 $$0252517$$xU12599$$pCNP
000168291 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.tind.io:168291
000168291 917Z8 $$x149175
000168291 937__ $$aEPFL-CONF-168291
000168291 973__ $$rREVIEWED$$sACCEPTED$$aEPFL
000168291 980__ $$aCONF