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• W2912270846 endingPage "e0207351" @default.
• W2912270846 startingPage "e0207351" @default.
• W2912270846 abstract "Brain-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." @default.
• W2912270846 created "2019-02-21" @default.
• W2912270846 creator A5039061528 @default.
• W2912270846 creator A5055115678 @default.
• W2912270846 creator A5060955050 @default.
• W2912270846 creator A5082698816 @default.
• W2912270846 date "2019-01-25" @default.
• W2912270846 modified "2023-10-16" @default.
• W2912270846 title "A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity" @default.
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• W2912270846 doi "https://doi.org/10.1371/journal.pone.0207351" @default.
• W2912270846 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6347432" @default.
• W2912270846 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30682025" @default.

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