A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity

dc.contributor.authorSannelli, Claudia
dc.contributor.authorVidaurre, Carmen
dc.contributor.authorMüller, Klaus-Robert
dc.contributor.authorBlankertz, Benjamin
dc.date.accessioned2019-12-11T10:20:28Z
dc.date.available2019-12-11T10:20:28Z
dc.date.issued2019-01-25
dc.description.abstractBrain-Computer Interfaces (BCIs) are inefficient for a non-negligible part of the population, estimated around 25%. To understand this phenomenon in Sensorimotor Rhythm (SMR) based BCIs, data from a large-scale screening study conducted on 80 novice participants with the Berlin BCI system and its standard machine-learning approach were investigated. Each participant performed one BCI session with resting state Encephalography, Motor Observation, Motor Execution and Motor Imagery recordings and 128 electrodes. A significant portion of the participants (40%) could not achieve BCI control (feedback performance > 70%). Based on the performance of the calibration and feedback runs, BCI users were stratified in three groups. Analyses directed to detect and elucidate the differences in the SMR activity of these groups were performed. Statistics on reactive frequencies, task prevalence and classification results are reported. Based on their SMR activity, also a systematic list of potential reasons leading to performance drops and thus hints for possible improvements of BCI experimental design are given. The categorization of BCI users has several advantages, allowing researchers 1) to select subjects for further analyses as well as for testing new BCI paradigms or algorithms, 2) to adopt a better subject-dependent training strategy and 3) easier comparisons between different studies.en
dc.description.sponsorshipBMBF, 01GQ0850, Bernstein Fokus Neurotechnologie - Nichtinvasive Neurotechnologie für Mensch-Maschine Interaktionen
dc.identifier.eissn1932-6203
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/10470
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-9422
dc.language.isoenen
dc.relation.issupplementedby10.14279/depositonce-8102
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc150 Psychologiede
dc.subject.ddc610 Medizin und Gesundheitde
dc.subject.otherbrain-computer interfaceen
dc.subject.otherBCIen
dc.subject.othersensorimotor rhythmen
dc.subject.otherSMRen
dc.titleA large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activityen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumbere0207351en
dcterms.bibliographicCitation.doi10.1371/journal.pone.0207351en
dcterms.bibliographicCitation.issue1en
dcterms.bibliographicCitation.journaltitlePLOS ONEen
dcterms.bibliographicCitation.originalpublishernamePublic Library of Science (PLoS)en
dcterms.bibliographicCitation.originalpublisherplaceSan Franciscoen
dcterms.bibliographicCitation.volume14en
tub.accessrights.dnbfreeen
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Softwaretechnik und Theoretische Informatik::FG Neurotechnologiede
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Neurotechnologiede
tub.affiliation.instituteInst. Softwaretechnik und Theoretische Informatikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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