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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Detalles Bibliográficos
Autores principales: Scherer, Reinhold, Faller, Josef, Friedrich, Elisabeth V. C., Opisso, Eloy, Costa, Ursula, Kübler, Andrea, Müller-Putz, Gernot R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436356/
https://www.ncbi.nlm.nih.gov/pubmed/25992718
http://dx.doi.org/10.1371/journal.pone.0123727

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436356/
https://www.ncbi.nlm.nih.gov/pubmed/25992718
http://dx.doi.org/10.1371/journal.pone.0123727

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