Literature DB >> 16405926

Walking from thought.

Gert Pfurtscheller1, Robert Leeb, Claudia Keinrath, Doron Friedman, Christa Neuper, Christoph Guger, Mel Slater.   

Abstract

Online analysis and classification of single electroencephalogram (EEG) trials during motor imagery were used for navigation in the virtual environment (VE). The EEG was recorded bipolarly with electrode placement over the hand and foot representation areas. The aim of the study was to demonstrate for the first time that it is possible to move through a virtual street without muscular activity when the participant only imagines feet movements. This is achieved by exploiting a brain-computer interface (BCI) which transforms thought-modulated EEG signals into an output signal that controls events within the VE. The experiments were carried out in an immersive projection environment, commonly referred to as a "Cave" (Cruz-Neira, C., Sandin, D.J., DeFanti, T.A., Surround-screen projection-based virtual reality: the design and implementation of the CAVE. Proceedings of the 20th annual conference on Computer graphics and interactive techniques, ACM Press, 1993, pp. 135-142) where participants were able to move through a virtual street by foot imagery only. Prior to the final experiments in the Cave, the participants underwent an extensive BCI training.

Entities:  

Mesh:

Year:  2006        PMID: 16405926     DOI: 10.1016/j.brainres.2005.11.083

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  30 in total

1.  Electro-encephalogram based brain-computer interface: improved performance by mental practice and concentration skills.

Authors:  Babak Mahmoudi; Abbas Erfanian
Journal:  Med Biol Eng Comput       Date:  2006-10-07       Impact factor: 2.602

2.  Brain motor system function in a patient with complete spinal cord injury following extensive brain-computer interface training.

Authors:  Christian Enzinger; Stefan Ropele; Franz Fazekas; Marisa Loitfelder; Faton Gorani; Thomas Seifert; Gudrun Reiter; Christa Neuper; Gert Pfurtscheller; Gernot Müller-Putz
Journal:  Exp Brain Res       Date:  2008-07-01       Impact factor: 1.972

3.  Emulation of computer mouse control with a noninvasive brain-computer interface.

Authors:  Dennis J McFarland; Dean J Krusienski; William A Sarnacki; Jonathan R Wolpaw
Journal:  J Neural Eng       Date:  2008-03-05       Impact factor: 5.379

4.  Pyff - a pythonic framework for feedback applications and stimulus presentation in neuroscience.

Authors:  Bastian Venthur; Simon Scholler; John Williamson; Sven Dähne; Matthias S Treder; Maria T Kramarek; Klaus-Robert Müller; Benjamin Blankertz
Journal:  Front Neurosci       Date:  2010-12-02       Impact factor: 4.677

Review 5.  Brain-controlled muscle stimulation for the restoration of motor function.

Authors:  Christian Ethier; Lee E Miller
Journal:  Neurobiol Dis       Date:  2014-10-28       Impact factor: 5.996

6.  Change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy.

Authors:  Yasunari Hashimoto; Junichi Ushiba; Akio Kimura; Meigen Liu; Yutaka Tomita
Journal:  BMC Neurosci       Date:  2010-09-16       Impact factor: 3.288

7.  Crosstalk disrupts the production of motor imagery brain signals in brain-computer interfaces.

Authors:  Phoebe S-H Neo; Terence Mayne; Xiping Fu; Zhiyi Huang; Elizabeth A Franz
Journal:  Health Inf Sci Syst       Date:  2021-03-13

8.  Comparison of dry and gel based electrodes for p300 brain-computer interfaces.

Authors:  Christoph Guger; Gunther Krausz; Brendan Z Allison; Guenter Edlinger
Journal:  Front Neurosci       Date:  2012-05-07       Impact factor: 4.677

Review 9.  Motor imagery and action observation: cognitive tools for rehabilitation.

Authors:  Th Mulder
Journal:  J Neural Transm (Vienna)       Date:  2007-06-20       Impact factor: 3.575

10.  Detecting awareness in the vegetative state: electroencephalographic evidence for attempted movements to command.

Authors:  Damian Cruse; Srivas Chennu; Davinia Fernández-Espejo; William L Payne; G Bryan Young; Adrian M Owen
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.