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Data_Sheet_1_Modeling the acceptability of BCIs for motor r..:
Elise Grevet
;
Killyam Forge
;
Sebastien Tadiello
...
doi:10.3389/fnrgo.2022.1082901.s001. , 2023
Link:
https://doi.org/10.3389/fnrgo.2022.1082901.s001
RT Journal T1
Data_Sheet_1_Modeling the acceptability of BCIs for motor rehabilitation after stroke: A large scale study on the general public.pdf
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_21987575&Exemplar=1&LAN=DE A1 Elise Grevet A1 Killyam Forge A1 Sebastien Tadiello A1 Margaux Izac A1 Franck Amadieu A1 Lionel Brunel A1 Léa Pillette A1 Jacques Py A1 David Gasq A1 Camille Jeunet-Kelway YR 2023 K1 Behavioral Neuroscience K1 Neuroscience K1 Sensory Processes K1 Perception and Performance K1 Computer Perception K1 Memory and Attention K1 Neurocognitive Patterns and Neural Networks K1 brain-computer interface (BCI) K1 neurofeedback (NF) K1 acceptability K1 acceptance K1 stroke K1 motor rehabilitation K1 model K1 questionnaire JF doi:10.3389/fnrgo.2022.1082901.s001 LK http://dx.doi.org/https://doi.org/10.3389/fnrgo.2022.1082901.s001 DO https://doi.org/10.3389/fnrgo.2022.1082901.s001 SF ELIB - SuUB Bremen
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