Literature DB >> 16562629

Steady-state somatosensory evoked potentials: suitable brain signals for brain-computer interfaces?

Gernot R Müller-Putz1, Reinhold Scherer, Christa Neuper, Gert Pfurtscheller.   

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.

Mesh:

Year:  2006        PMID: 16562629     DOI: 10.1109/TNSRE.2005.863842

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  29 in total

1.  Error potential detection during continuous movement of an artificial arm controlled by brain-computer interface.

Authors:  Alex Kreilinger; Christa Neuper; Gernot R Müller-Putz
Journal:  Med Biol Eng Comput       Date:  2012-01-01       Impact factor: 2.602

2.  Stability and distribution of steady-state somatosensory evoked potentials elicited by vibro-tactile stimulation.

Authors:  Christian Breitwieser; Vera Kaiser; Christa Neuper; Gernot R Müller-Putz
Journal:  Med Biol Eng Comput       Date:  2012-03-08       Impact factor: 2.602

Review 3.  Brain-computer interfaces in medicine.

Authors:  Jerry J Shih; Dean J Krusienski; Jonathan R Wolpaw
Journal:  Mayo Clin Proc       Date:  2012-02-10       Impact factor: 7.616

Review 4.  Progress in Brain Computer Interface: Challenges and Opportunities.

Authors:  Simanto Saha; Khondaker A Mamun; Khawza Ahmed; Raqibul Mostafa; Ganesh R Naik; Sam Darvishi; Ahsan H Khandoker; Mathias Baumert
Journal:  Front Syst Neurosci       Date:  2021-02-25

5.  Improved signal processing approaches in an offline simulation of a hybrid brain-computer interface.

Authors:  Clemens Brunner; Brendan Z Allison; Dean J Krusienski; Vera Kaiser; Gernot R Müller-Putz; Gert Pfurtscheller; Christa Neuper
Journal:  J Neurosci Methods       Date:  2010-02-11       Impact factor: 2.390

6.  A new auditory multi-class brain-computer interface paradigm: spatial hearing as an informative cue.

Authors:  Martijn Schreuder; Benjamin Blankertz; Michael Tangermann
Journal:  PLoS One       Date:  2010-04-01       Impact factor: 3.240

7.  A tactile P300 brain-computer interface.

Authors:  Anne-Marie Brouwer; Jan B F van Erp
Journal:  Front Neurosci       Date:  2010-05-06       Impact factor: 4.677

8.  Combined Auditory and Vibrotactile Feedback for Human-Machine-Interface Control.

Authors:  Elias B Thorp; Eric Larson; Cara E Stepp
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2013-07-31       Impact factor: 3.802

9.  An online brain-computer interface based on shifting attention to concurrent streams of auditory stimuli.

Authors:  N J Hill; B Schölkopf
Journal:  J Neural Eng       Date:  2012-02-15       Impact factor: 5.379

10.  Selective sensation based brain-computer interface via mechanical vibrotactile stimulation.

Authors:  Lin Yao; Jianjun Meng; Dingguo Zhang; Xinjun Sheng; Xiangyang Zhu
Journal:  PLoS One       Date:  2013-06-06       Impact factor: 3.240

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