Download e-book for iPad: Brain-Computer Interface Research: A State-of-the-Art by Christoph Guger, Brendan Allison, Günter Edlinger (auth.),

By Christoph Guger, Brendan Allison, Günter Edlinger (auth.), Christoph Guger, Brendan Z. Allison, Günter Edlinger (eds.)

ISBN-10: 3642360823

ISBN-13: 9783642360824

ISBN-10: 3642360831

ISBN-13: 9783642360831

Brain-computer interfaces (BCIs) are quickly constructing right into a mainstream, around the world examine undertaking. With such a lot of new teams and tasks, it may be tough to spot the simplest ones. This publication summarizes ten major initiatives from worldwide. approximately 60 submissions have been acquired in 2011 for the hugely aggressive BCI examine Award, and a world jury chosen the pinnacle ten. This short provides a concise yet conscientiously illustrated and completely updated description of every of those initiatives, including an creation and concluding bankruptcy by way of the editors.

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Adamovich, M. Recce, H. Poizner, Virtual reality-augmented rehabilitation for patients following stroke. Phys. Ther. 82, 898–915 (2002) L. Holper, T. Muehlemann, F. Scholkmann, K. Eng, D. Kiper, M. Wolf, Testing the potential of a virtual reality neurorehabilitation system during performance of observation, imagery and imitation of motor actions recorded by wireless functional near-infrared spectroscopy (fNIRS). J. NeuroEng. Rehabil. 7, 57 (2010) J. Brand, O. Geisseler, L. C. Hepp-Reymond, M. Morari, D.

C. , Harnessing neuroplasticity for clinical applications. Brain 134, 1591–1609 (2011) W. L. A. C. G. Cohen, N. W. B. L. J. Weber, Neural interface technology for rehabilitation: exploiting and promoting neuroplasticity. Phys. Med. Rehabil. Clin. N. Am. 21, 157–178 (2010) M. Wolf, M. Ferrari, V. Quaresima, Progress of near-infrared spectroscopy and topography for brain and muscle clinical applications. J. Biomed. Opt. 12, 062104 (2007) T. Muehlemann, D. Haensse, M. Wolf, Wireless miniaturized in vivo near infrared imaging.

2011). In summary, these studies indicate that variations in activity between different attentional networks have an impact on a subject’s capability to operate a SMR-BCI. The results discussed so far have been obtained with healthy subjects. Preliminary evidence indicates that similar relations may also be reproducible in subjects in late stages of ALS (Grosse-Wentrup 2011b), but further evidence is required before any general conclusions may be drawn. The next question, then, is how these insights may be used to enhance BCI-performance in individual subjects.

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Brain-Computer Interface Research: A State-of-the-Art Summary by Christoph Guger, Brendan Allison, Günter Edlinger (auth.), Christoph Guger, Brendan Z. Allison, Günter Edlinger (eds.)

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