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  Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach

Hinterberger, T., Nijboer, F., Kübler, A., Matuz, T., Furdea, A., Mochty, U., et al. (2007). Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach. In G. Dornhege, J. Millán, T. Hinterberger, D. McFarland, & K.-R. Müller (Eds.), Toward Brain-Computer Interfacing (pp. 43-64). Cambridge, MA, USA: MIT Press.

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TowardBrainComputerInterfacing-Hinterberger.pdf (Any fulltext), 766KB
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 Creators:
Hinterberger, T, Author
Nijboer, F, Author
Kübler, A, Author
Matuz, T, Author
Furdea, A, Author
Mochty, U, Author
Jordan, M, Author
Lal, TN1, 2, Author           
Hill, J1, 2, Author           
Meilinger, J, Author
Bensch, M, Author
Tangermann, M, Author
Widman, G, Author
Elger, CE, Author
Rosenstiel, W, Author
Schölkopf, B1, 2, Author           
Birbaumer, N, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: An overview of different approaches to brain-computer interfaces (BCIs) developed in our laboratory is given. An important clinical application of BCIs is to enable communication or environmental control in severely paralyzed patients. The BCI “Thought-Translation Device (TTD)” allows verbal communication through the voluntary self-regulation of brain signals (e.g., slow cortical potentials (SCPs)), which is achieved by operant feedback training. Humans' ability to self-regulate their SCPs is used to move a cursor toward a target that contains a selectable letter set. Two different approaches were followed to developWeb browsers that could be controlled with binary brain responses. Implementing more powerful classification methods including different signal parameters such as oscillatory features improved our BCI considerably. It was also tested on signals with implanted electrodes. Most BCIs provide the user with a visual feedback interface. Visually impaired patients require an auditory feedback mode. A procedure using auditory (sonified) feedback of multiple EEG parameters was evaluated. Properties of the auditory systems are reported and the results of two experiments with auditory feedback are presented. Clinical data of eight ALS patients demonstrated that all patients were able to acquire efficient brain control of one of the three available BCI systems (SCP, µ-rhythm, and P300), most of them used the SCP-BCI. A controlled comparison of the three systems in a group of ALS patients, however, showed that P300-BCI and the µ-BCI are faster and more easily acquired than SCP-BCI, at least in patients with some rudimentary motor control left. Six patients who started BCI training after entering the completely locked-in state did not achieve reliable communication skills with any BCI system. One completely locked-in patient was able to communicate shortly with a ph-meter, but lost control afterward.

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 Dates: 2007-09
 Publication Status: Issued
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 Identifiers: BibTex Citekey: 4942
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Title: Toward Brain-Computer Interfacing
Source Genre: Book
 Creator(s):
Dornhege, G, Editor
Millán , JR, Editor
Hinterberger, T, Editor
McFarland, DJ, Editor
Müller, K-R1, Editor           
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Cambridge, MA, USA : MIT Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 43 - 64 Identifier: ISBN: 0-262-04244-4

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Title: Neural Information Processing Series
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