Literature DB >> 11018314

Brain oscillations control hand orthosis in a tetraplegic.

G Pfurtscheller1, C Guger, G Müller, G Krausz, C Neuper.   

Abstract

The aim of the present study was to investigate whether self-induced brain potential changes could be useful as control signals for patients with severe motor impairment, i.e. due to high-level spinal cord injury. The pilot project was performed in a tetraplegic patient (T.S.), whose residual muscle activity of the upper limbs is restricted to the left biceps. To restore the hand grasp function, an electrical driven hand orthosis fitting his left hand was developed. The operation of this device is directly based on the bioelectrical signals of the brain. After some months of training, T. S. has learned to operate the hand orthosis by mental imagination of specific motor commands.

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Year:  2000        PMID: 11018314     DOI: 10.1016/s0304-3940(00)01471-3

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  84 in total

1.  Control of a hand grasp neuroprosthesis using an electroencephalogram-triggered switch: demonstration of improvements in performance using wavepacket analysis.

Authors:  J M Heasman; T R D Scott; L Kirkup; R Y Flynn; V A Vare; C R Gschwind
Journal:  Med Biol Eng Comput       Date:  2002-09       Impact factor: 2.602

2.  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

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.  Brain computer interfaces, a review.

Authors:  Luis Fernando Nicolas-Alonso; Jaime Gomez-Gil
Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

5.  EEG Source Imaging Enhances the Decoding of Complex Right-Hand Motor Imagery Tasks.

Authors:  Bradley J Edelman; Bryan Baxter; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-12       Impact factor: 4.538

Review 6.  The development of brain-machine interface neuroprosthetic devices.

Authors:  Parag G Patil; Dennis A Turner
Journal:  Neurotherapeutics       Date:  2008-01       Impact factor: 7.620

7.  Brain-computer interfaces and communication in paralysis: extinction of goal directed thinking in completely paralysed patients?

Authors:  A Kübler; N Birbaumer
Journal:  Clin Neurophysiol       Date:  2008-09-27       Impact factor: 3.708

8.  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

9.  An MEG-based brain-computer interface (BCI).

Authors:  Jürgen Mellinger; Gerwin Schalk; Christoph Braun; Hubert Preissl; Wolfgang Rosenstiel; Niels Birbaumer; Andrea Kübler
Journal:  Neuroimage       Date:  2007-03-27       Impact factor: 6.556

10.  Fast set-up asynchronous brain-switch based on detection of foot motor imagery in 1-channel EEG.

Authors:  Gernot R Müller-Putz; Vera Kaiser; Teodoro Solis-Escalante; Gert Pfurtscheller
Journal:  Med Biol Eng Comput       Date:  2010-01-06       Impact factor: 2.602

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