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