Download Brain-computer interfaces : revolutionizing human-computer by Bernhard Graimann, Brendan Z. Allison, Gert Pfurtscheller PDF

By Bernhard Graimann, Brendan Z. Allison, Gert Pfurtscheller

A brain-computer interface (BCI) establishes an immediate output channel among the human mind and exterior units. BCIs infer person reason through direct measures of mind job and hence let conversation and regulate with no circulation. This publication, authored via specialists within the box, offers an available advent to the neurophysiological and signal-processing history required for BCI, offers cutting-edge non-invasive and invasive techniques, provides an outline of present and software program suggestions, and stories the main fascinating in addition to new, rising BCI functions. The ebook is meant not just for college kids and younger researchers, but in addition for beginners and different readers from varied backgrounds willing to profit approximately this important medical endeavour.

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Extra info for Brain-computer interfaces : revolutionizing human-computer interaction

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In addition, high ITRs are usually reported when people only use a BCI for short periods. Of course, it is interesting to push the limits and learn the best possible performance of current BCI technology, but it is no less important to estimate realistic performance in more practical settings. Unfortunately, there is currently no study available that investigates the average information transfer rate for various BCI systems over a larger user population and over a longer time period so that a general estimate of average BCI performance can be derived.

Townsend, C. Vidaurre, and C. Neuper, 15 years of BCI research at Graz University of Technology: current projects. , 205–210, (2006). 34. W. Sellers and E. Donchin, A P300-based brain-computer interface: initial tests by ALS patients. , 538–548, (2006). 35. B. Graimann, B. Allison, C. Mandel, T. Lüth, D. Valbuena, and A. Gräser, Non-invasive braincomputer interfaces for semi-autonomous assistive devices. Robust Intell Syst, 113–138, (2009). 36. R. Leeb, D. R. Müller-Putz, R. Scherer, M. Slater, and G.

E. L. K. A. A. M. A. Ross, Identification of electrocorticogram patterns as the basis for a direct brain interface, J Clin Neurophysiol. , 439–447, (1999). 5. B. Schwartz, Cortical neural prosthetics. Annu Rev Neurosci, 27, 487–507, (2004). 6. E. D. Silva, Electroencephalography: Basic principles, clinical applications, and related fields, Lippincott Williams & Wilkins, (2004). 7. R. E. Z. Allison, E. F. J. Heetderks, F. G. N. Turner, BCI Meeting 2005 – workshop on signals and recording methods, IEEE Trans Neural Syst Rehabil Eng: A Pub IEEE Eng Med Biol Soc.

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