By Maureen Clerc, Laurent Bougrain, Fabien Lotte

Brain–computer interfaces (BCI) are units which degree mind job and translate it into messages or instructions, thereby commencing up many percentages for research and alertness. This e-book presents keys for realizing and designing those multi-disciplinary interfaces, which require many fields of craftsmanship equivalent to neuroscience, records, informatics and psychology.

This moment quantity, expertise and purposes, is targeted at the box of BCI from the point of view of its finish clients, comparable to people with disabilities to practitioners. overlaying scientific functions and the sphere of games, the e-book then is going directly to discover consumer wishes which force the layout and improvement of BCI. The software program used for his or her layout, basically OpenViBE, is defined step-by-step, prior to a dialogue at the use of BCI from moral, philosophical and social perspectives.

The simple notions built during this reference publication are meant to be available to all readers drawn to BCI, no matter what their historical past. extra complicated fabric can be provided, for readers who are looking to extend their wisdom in disciplinary fields underlying BCI.

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Although no improvement over time could be proven, the performances, which were subject to strong fluctuations, sometimes significantly exceeded chance levels. 3. Visual frequency markers A third well-known category of BCI that has recently been explored for communicating with patients with LIS or disorders of consciousness is the 18 Brain–Computer Interfaces 2 category of visual frequency markers (SSVEP, see Chapter 4 of Volume 1). This marking system is based on the repetition of a visual stimulus at a given frequency.

27, pp. 627–640, 1990. , C HILDS N. , “The minimally conscious state: definition and diagnostic criteria”, Neurology, vol. 58, pp. 349–353, 2002. , “The JFK coma recovery scale-revised: measurement characteristics and diagnostic utility”, Archives of Physical Medicine and Rehabilitation, vol. 85, pp. 2020–2029, 2004. M. , “Determination of awareness in patients with severe brain injury using EEG power spectral analysis”, Clinical Neurophysiology, vol. 122, pp. 2157–2168, 2011. , L EDOUX D. , “Automated EEG entropy measurements in coma, vegetative state/unresponsive wakefulness syndrome and minimally conscious state”, Functional Neurology, vol.

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