Computer Science

Download Brain-Computer Interfaces 2: Technology and Applications by Maureen Clerc, Laurent Bougrain, Fabien Lotte PDF

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 probabilities for research and alertness. This e-book presents keys for knowing and designing those multi-disciplinary interfaces, which require many fields of craftsmanship corresponding to neuroscience, facts, informatics and psychology.

This moment quantity, expertise and functions, is targeted at the box of BCI from the point of view of its finish clients, resembling people with disabilities to practitioners. protecting medical purposes and the sphere of games, the publication 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, essentially OpenViBE, is defined step-by-step, prior to a dialogue at the use of BCI from moral, philosophical and social perspectives.

The easy notions built during this reference e-book are meant to be obtainable to all readers drawn to BCI, no matter what their historical past. extra complicated fabric is additionally provided, for readers who are looking to extend their wisdom in disciplinary fields underlying BCI.

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Extra resources for Brain-Computer Interfaces 2: Technology and Applications

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Note that both of these patients were still capable of Brain–Computer Interfaces in Disorders of Consciousness 17 communicating by other means, and that one of them was familiar with the usage of a visual BCI. 2. Mental motor imagery Mental motor imagery is known for producing characteristic brain activity (desynchronization of the mu and beta frequency bands) in a way that is relatively similar to the activity produced when executing an actual movement [PFU 99]. Each effector’s electrophysiological response has its own scalp topography when put into motion, whether mentally or physically, which may be used to distinguish a number of different commands, typically between 2 and 4 (see Chapter 4 of Volume 1).

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An independent SSVEP-based Brain–Computer interface in locked-in syndrome”, Journal of Neural Engineering, vol. 11, no. 3, p. 035002, 2014. , C ASTANEDA A. , “Prognostic value of evoked and event-related potentials in moderate to severe brain injury”, The Journal of Head Trauma Rehabilitation, vol. 21, pp. 350–360, 2006. I. , “Modelling trial-by-trial changes in the mismatch negativity”, PLoS Computational Biology, vol. 9, no. 2, p. e1002911, 2013. , M URRI L. , “The prognostic value of evoked responses from primary somatosensory and auditory cortex in comatose patients”, Clinical Neurophysiology, vol.

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