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.)

Brain-computer interfaces (BCIs) are swiftly constructing right into a mainstream, around the world examine undertaking. With such a lot of new teams and initiatives, it may be tough to spot the easiest ones. This ebook summarizes ten top tasks from world wide. approximately 60 submissions have been bought in 2011 for the hugely aggressive BCI learn Award, and a global jury chosen the head ten. This short offers a concise yet rigorously illustrated and completely updated description of every of those initiatives, including an advent and concluding bankruptcy via the editors.

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However, HMMs seem to outperform other approaches. To summarize, recent studies on fNIRS based BCIs have underlined the potential of fNIRS as a modality to detect cortical activity directly from motor regions with decent accuracy, while requiring minimal setup time and training. This makes fNIRS a very promising candidate for rehabilitation applications. In the next section of this chapter, we will present results of a pilot study (Zimmermann et al. 2011) towards the B2RI concept introduced earlier in this chapter.

650–950 nm (Wolf et al. 2007)] is guided into the head. Due to the high scattering properties of human tissue, a fraction of this light can be detected on the head’s surface a few centimeters away from the source. A part of the detected light reaches the cortex, carrying information about this region. The photons are not only scattered, but also absorbed. e. oxygenated hemoglobin (O2Hb) and deoxygenated hemoglobin (HHb). By measuring the attenuation of the injected light of at least two discrete wavelengths, changes in O2Hb and HHb can locally be determined.

Harkam, I. Niedermayer, G.

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