Document Detail

Steady-state somatosensory evoked potentials: suitable brain signals for brain-computer interfaces?
MedLine Citation:
PMID:  16562629     Owner:  NLM     Status:  MEDLINE    
One of the main issues in designing a brain-computer interface (BCI) is to find brain patterns, which could easily be detected. One of these pattern is the steady-state evoked potential (SSEP). SSEPs induced through the visual sense have already been used for brain-computer communication. In this work, a BCI system is introduced based on steady-state somatosensory evoked potentials (SSSEPs). Transducers have been used for the stimulation of both index fingers using tactile stimulation in the "resonance"-like frequency range of the somatosensory system. Four subjects participated in the experiments and were trained to modulate induced SSSEPs. Two of them learned to modify the patterns in order to set up a BCI with an accuracy of between 70% and 80%. Results presented in this work give evidence that it is possible to set up a BCI which is based on SSSEPs.
Gernot R Müller-Putz; Reinhold Scherer; Christa Neuper; Gert Pfurtscheller
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Publication Detail:
Type:  Clinical Trial; Journal Article    
Journal Detail:
Title:  IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society     Volume:  14     ISSN:  1534-4320     ISO Abbreviation:  IEEE Trans Neural Syst Rehabil Eng     Publication Date:  2006 Mar 
Date Detail:
Created Date:  2006-03-27     Completed Date:  2006-05-01     Revised Date:  2009-11-19    
Medline Journal Info:
Nlm Unique ID:  101097023     Medline TA:  IEEE Trans Neural Syst Rehabil Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  30-7     Citation Subset:  IM    
Laboratory of Brain-Computer Interfaces, Institute for Computer Graphics and Vision, Graz University of Technology, 8010 Graz, Austria.
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MeSH Terms
Biofeedback, Psychology
Brain / physiology*
Electric Stimulation
Evoked Potentials, Somatosensory / physiology*
Fingers / physiology
Learning / physiology
Movement / physiology*
Signal Processing, Computer-Assisted
User-Computer Interface*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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