DocumentCode
864473
Title
Steady-state somatosensory evoked potentials: suitable brain signals for brain-computer interfaces?
Author
Muller-Putz, Gernot R. ; Scherer, Rafal ; Neuper, Christa ; Pfurtscheller, Gert
Author_Institution
Lab. of Brain-Comput. Interfaces, Graz Univ. of Technol., Austria
Volume
14
Issue
1
fYear
2006
fDate
3/1/2006 12:00:00 AM
Firstpage
30
Lastpage
37
Abstract
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.
Keywords
bioelectric potentials; biomedical transducers; electroencephalography; handicapped aids; haptic interfaces; somatosensory phenomena; brain patterns; brain signals; brain-computer interfaces; index finger stimulation; steady-state somatosensory evoked potentials; tactile stimulation; transducers; visual sense; Biomedical informatics; Computer graphics; Electroencephalography; Feature extraction; Fingers; Frequency; Helium; Laboratories; Steady-state; Transducers; Brain–computer interface (BCI); electroencephalogram (EEG); steady-state somatosensory evoked potential (SSSEP); Adult; Biofeedback (Psychology); Brain; Electric Stimulation; Electroencephalography; Evoked Potentials, Somatosensory; Female; Fingers; Humans; Learning; Male; Movement; Signal Processing, Computer-Assisted; User-Computer Interface;
fLanguage
English
Journal_Title
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1534-4320
Type
jour
DOI
10.1109/TNSRE.2005.863842
Filename
1605261
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