de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Poster

The Thought-Translation-Device (TTD): A brain-computerinterface for the completely paralyzed

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84193

Schölkopf,  B
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Birbaumer, N., Schölkopf, B., & Preissl, H. (2003). The Thought-Translation-Device (TTD): A brain-computerinterface for the completely paralyzed. Poster presented at 29th Göttingen Neurobiology Conference, Göttingen, Germany.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-DC69-7
Abstract
On-line classification of slow cortical potentials (SCP) of the EEG allows the characterization of two to four different brain states which can be used for computer based selection of letters or words. 7 completely paralyzed, artificially respirated and fed lockedin patients suffering from amyotrophic lateral sclerosis were trained to produce negative and positive SCP at the Vertex-electrode. After successful training selection of letters or words was possible with a maximum speed of one letter or word per minute. Patients whose training was initiated late at a completely locked-in-state were only able to answer yes-no questions with their SCP. New classification algorithms, in particular support vector machines, allow better classifications. First attempts to build a 150 channel MEG/EEG brain-computer-interface (BCI) for the locked-in and otherwise paralyzed patients are reported. Critical for successful application, however, is the selection of simple behavioral paradigms allowing patients with cognitive disorders and higher animals to produce classifiable brain states. The operant regulation with feedback seems to be an easy to apply and psychologically most adapted paradigm for BCI.