Individually adapted imagery improves brain-computer interface performance in end-users with disability.

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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Bibliographic Details
Main Authors: Reinhold Scherer, Josef Faller, Elisabeth V C Friedrich, Eloy Opisso, Ursula Costa, Andrea Kübler, Gernot R Müller-Putz
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4436356?pdf=render

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http://europepmc.org/articles/PMC4436356?pdf=render

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