A Co-Adaptive Brain-Computer Interface for End Users with Severe Motor Impairment
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Abstract
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DOI: 10.1371/journal.pone.0101168
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References listed on IDEAS
- Elisabeth V C Friedrich & Christa Neuper & Reinhold Scherer, 2013. "Whatever Works: A Systematic User-Centered Training Protocol to Optimize Brain-Computer Interfacing Individually," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-1, September.
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Cited by:
- Reinhold Scherer & Josef Faller & Elisabeth V C Friedrich & Eloy Opisso & Ursula Costa & Andrea Kübler & Gernot R Müller-Putz, 2015. "Individually Adapted Imagery Improves Brain-Computer Interface Performance in End-Users with Disability," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-14, May.
- Laura Acqualagna & Loic Botrel & Carmen Vidaurre & Andrea Kübler & Benjamin Blankertz, 2016. "Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-19, February.
- Oliveira Filho, F.M. & Leyva Cruz, J.A. & Zebende, G.F., 2019. "Analysis of the EEG bio-signals during the reading task by DFA method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 664-671.
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