Literature DB >> 11393301

Brain-computer communication: unlocking the locked in.

A Kübler1, B Kotchoubey, J Kaiser, J R Wolpaw, N Birbaumer.   

Abstract

With the increasing efficiency of life-support systems and better intensive care, more patients survive severe injuries of the brain and spinal cord. Many of these patients experience locked-in syndrome: The active mind is locked in a paralyzed body. Consequently, communication is extremely restricted or impossible. A muscle-independent communication channel overcomes this problem and is realized through a brain-computer interface, a direct connection between brain and computer. The number of technically elaborated brain-computer interfaces is in contrast with the number of systems used in the daily life of locked-in patients. It is hypothesized that a profound knowledge and consideration of psychological principles are necessary to make brain-computer interfaces feasible for locked-in patients.

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Mesh:

Year:  2001        PMID: 11393301     DOI: 10.1037/0033-2909.127.3.358

Source DB:  PubMed          Journal:  Psychol Bull        ISSN: 0033-2909            Impact factor:   17.737


  75 in total

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Journal:  Neurorehabil Neural Repair       Date:  2010-10-04       Impact factor: 3.919

2.  Predictors of successful self control during brain-computer communication.

Authors:  N Neumann; N Birbaumer
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-08       Impact factor: 10.154

3.  Robust extraction of P300 using constrained ICA for BCI applications.

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Review 4.  Brain computer interfaces, a review.

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Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

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Authors:  Susan Fager; David R Beukelman; Melanie Fried-Oken; Tom Jakobs; John Baker
Journal:  Assist Technol       Date:  2011

6.  Towards an independent brain-computer interface using steady state visual evoked potentials.

Authors:  Brendan Z Allison; Dennis J McFarland; Gerwin Schalk; Shi Dong Zheng; Melody Moore Jackson; Jonathan R Wolpaw
Journal:  Clin Neurophysiol       Date:  2008-02       Impact factor: 3.708

7.  Improving visual perception through neurofeedback.

Authors:  Frank Scharnowski; Chloe Hutton; Oliver Josephs; Nikolaus Weiskopf; Geraint Rees
Journal:  J Neurosci       Date:  2012-12-05       Impact factor: 6.167

8.  Offline Identification of Imagined Speed of Wrist Movements in Paralyzed ALS Patients from Single-Trial EEG.

Authors:  Ying Gu; Dario Farina; Ander Ramos Murguialday; Kim Dremstrup; Pedro Montoya; Niels Birbaumer
Journal:  Front Neurosci       Date:  2009-08-10       Impact factor: 4.677

9.  A cardiorespiratory classifier of voluntary and involuntary electrodermal activity.

Authors:  Stefanie Blain; Sarah D Power; Ervin Sejdic; Alex Mihailidis; Tom Chau
Journal:  Biomed Eng Online       Date:  2010-02-25       Impact factor: 2.819

10.  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

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