000202667 001__ 202667
000202667 005__ 20190416220319.0
000202667 0247_ $$2doi$$a10.1109/TBME.2014.2366554
000202667 02470 $$2ISI$$a000351768500007
000202667 037__ $$aARTICLE
000202667 245__ $$aQuantifying electrode reliability during Brain-Computer Interface operation
000202667 269__ $$a2015
000202667 260__ $$bInstitute of Electrical and Electronics Engineers$$c2015$$aPiscataway
000202667 300__ $$a7
000202667 336__ $$aJournal Articles
000202667 520__ $$aOne of the problems of non-invasive Brain-Computer Interface (BCI) applications is the occurrence of anomalous (unexpected) signals that might degrade BCI performance. This situation might slip the operator’s attention since raw signals are not usually continuously visualized and monitored during BCI-actuated device operation. Anomalous data can for instance be the result of electrode misplacement, degrading impedance or loss of connectivity. Since this problem can develop at run-time, there is a need of a systematic approach to evaluate electrode reliability during online BCI operation. In this paper, we propose two metrics detecting how much each channel is deviating from its expected behavior. This quantifies electrode reliability at run-time which could be embedded into BCI data processing to increase performance. We manifest the effectiveness of these metrics in quantifying signal degradation by conducting three experiments: electrode swap, electrode manipulation and offline artificially degradation of P300 signals.
000202667 6531_ $$aBrain Computer Interaction
000202667 6531_ $$aAnomaly Detection
000202667 6531_ $$aElectrode Reliability
000202667 6531_ $$a[Opportunity]
000202667 700__ $$0242182$$g191533$$aSagha, Hesam
000202667 700__ $$0242173$$g192137$$aPerdikis, Serafeim
000202667 700__ $$0240030$$g149175$$aMillán, José del R.
000202667 700__ $$0241256$$g137762$$aChavarriaga, Ricardo
000202667 773__ $$j63$$tIEEE Transactions on Biomedical Engineering$$k3$$q858-864
000202667 8564_ $$uhttps://infoscience.epfl.ch/record/202667/files/SaghaPeMiCh15.pdf$$zn/a$$s5623570$$yn/a
000202667 909C0 $$xU12599$$0252517$$pCNP
000202667 909C0 $$pCNBI$$xU12103$$0252018
000202667 909CO $$qGLOBAL_SET$$pSTI$$particle$$ooai:infoscience.tind.io:202667
000202667 917Z8 $$x137762
000202667 917Z8 $$x137762
000202667 917Z8 $$x137762
000202667 917Z8 $$x137762
000202667 917Z8 $$x137762
000202667 917Z8 $$x137762
000202667 917Z8 $$x149175
000202667 937__ $$aEPFL-ARTICLE-202667
000202667 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000202667 980__ $$aARTICLE