Reference : Detecting Consciousness with a Brain-computer Interface
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/2268/135495
Detecting Consciousness with a Brain-computer Interface
English
Noirhomme, Quentin mailto [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Lesenfants, Damien [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Lehembre, Remy [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Lugo, Zulay []
Chatelle, Camille mailto [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Vanhaudenhuyse, Audrey mailto [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Laureys, Steven mailto [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Nov-2012
Converging Clinical and Engineering Research on Neurorehabilitation
Pons, J. L.
Torricelli, D.
Pajaro, M.
Springer-Verlag
Biosystems & Biorobotics
1261-1264
Yes
Yes
International
9783642345456
Berlin Heidelberg
International Conference on NeuroRehabilitation, ICNR2012
November 2012
Toledo
Spain
[en] Brain-computer interface ; BCI ; diagnosis
[en] Recent electrophysiological and neuroimaging studies showed command-specific changes in EEG or fMRI signals of unresponsive patients providing motor-independent evidence of conscious thoughts. These promising results have paved the way for a new application for Brain-computer Interface (BCI): detecting consciousness in patients with disorders of consciousness (DOC). In the present abstract, we review the first results obtained by BCI-like applications in patients with DOC and discuss the challenges facing BCI research. We believe that patients with DOC may benefit from BCI based diagnosis. BCIs may detect changes in the signal in response to command and, in some cases, may permit communication.
Researchers ; Professionals
http://hdl.handle.net/2268/135495
FP7 ; 247919 - DECODER - Deployment of Brain-Computer Interfaces for the Detection of Consciousness in Non-Responsive Patients

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