Individually Adapted Imagery Improves Brain-Computer Interface Performance in End-Users with Disability

Brain-computer interfaces (BCIs) translate oscillatory electroencephalogram (EEG) patterns into action. Different mental activities modulate spontaneous EEG rhythms in various ways. Non-stationarity and inherent variability of EEG signals, however, make reliable recognition of modulated EEG patterns...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Scherer, Reinhold, Faller, Josef, Friedrich, Elisabeth V. C., Opisso, Eloy, Costa, Ursula, Kübler, Andrea, Müller-Putz, Gernot R.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2015
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4436356/
https://ncbi.nlm.nih.gov/pubmed/25992718
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0123727
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