Literature DB >> 12899265

Training locked-in patients: a challenge for the use of brain-computer interfaces.

Nicola Neumann1, Andrea Kübler.   

Abstract

Training severely paralyzed patients to use a brain-computer interface (BCI) for communication poses a number of issues and problems. Over the past six years, we have trained 11 patients to self-regulate their slow cortical brain potentials and to use this skill to move a cursor on a computer screen. This paper describes our experiences with this patient group including the problems of accepting and rejecting patients, communicating and interacting with patients, how training may be affected by social, familial, and institutional circumstances, and the importance of motivation and available reinforcers.

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Year:  2003        PMID: 12899265     DOI: 10.1109/TNSRE.2003.814431

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


  11 in total

1.  Heading for new shores! Overcoming pitfalls in BCI design.

Authors:  Ricardo Chavarriaga; Melanie Fried-Oken; Sonja Kleih; Fabien Lotte; Reinhold Scherer
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-12-30

2.  What would brain-computer interface users want? Opinions and priorities of potential users with amyotrophic lateral sclerosis.

Authors:  Jane E Huggins; Patricia A Wren; Kirsten L Gruis
Journal:  Amyotroph Lateral Scler       Date:  2011-05-02

3.  Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Authors:  Jane E Huggins; Christoph Guger; Brendan Allison; Charles W Anderson; Aaron Batista; Anne-Marie A-M Brouwer; Clemens Brunner; Ricardo Chavarriaga; Melanie Fried-Oken; Aysegul Gunduz; Disha Gupta; Andrea Kübler; Robert Leeb; Fabien Lotte; Lee E Miller; Gernot Müller-Putz; Tomasz Rutkowski; Michael Tangermann; David Edward Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-01

4.  The influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study.

Authors:  Femke Nijboer; Niels Birbaumer; Andrea Kübler
Journal:  Front Neurosci       Date:  2010-07-21       Impact factor: 4.677

5.  Analysis of eyes open, eye closed EEG signals using second-order difference plot.

Authors:  Ranjit A Thuraisingham; Yvonne Tran; Peter Boord; Ashley Craig
Journal:  Med Biol Eng Comput       Date:  2007-10-10       Impact factor: 2.602

6.  The Promise of Neurotechnology in Clinical Translational Science.

Authors:  Susan W White; John A Richey; Denis Gracanin; Martha Ann Bell; Stephen LaConte; Marika Coffman; Andrea Trubanova; Inyoung Kim
Journal:  Clin Psychol Sci       Date:  2014-10-17

7.  Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.

Authors:  J D R Millán; R Rupp; G R Müller-Putz; R Murray-Smith; C Giugliemma; M Tangermann; C Vidaurre; F Cincotti; A Kübler; R Leeb; C Neuper; K-R Müller; D Mattia
Journal:  Front Neurosci       Date:  2010-09-07       Impact factor: 4.677

8.  The Importance of Visual Feedback Design in BCIs; from Embodiment to Motor Imagery Learning.

Authors:  Maryam Alimardani; Shuichi Nishio; Hiroshi Ishiguro
Journal:  PLoS One       Date:  2016-09-06       Impact factor: 3.240

9.  Single-trial classification of NIRS signals during emotional induction tasks: towards a corporeal machine interface.

Authors:  Kelly Tai; Tom Chau
Journal:  J Neuroeng Rehabil       Date:  2009-11-09       Impact factor: 4.262

10.  Motor imagery for severely motor-impaired patients: evidence for brain-computer interfacing as superior control solution.

Authors:  Johannes Höhne; Elisa Holz; Pit Staiger-Sälzer; Klaus-Robert Müller; Andrea Kübler; Michael Tangermann
Journal:  PLoS One       Date:  2014-08-27       Impact factor: 3.240

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