Literature DB >> 11932820

A non-invasive communication device for the paralyzed.

Jochen Kaiser1, A Kübler, T Hinterberger, N Neumann, N Birbaumer.   

Abstract

An EEG-based communication system has been developed to re-establish communication in severely paralyzed patients who operate the device by generating shifts of their slow cortical potentials. Training to gain control over slow cortical potentials was based on visual feedback and operant conditioning strategies. The vertical movement of a graphic signal on a computer screen informs the patients about the course of their slow cortical potential amplitude. Positive slow cortical potential shifts move the cursor up, negative shifts move it down. These shifts are then translated into binary responses. When a patient has achieved reliable control over his/her slow cortical potential shifts, these responses can be used to select or reject items presented at the bottom of the screen. As learning processes and applications differ considerably between patients, the present paper describes the data from one patient with amyotrophic lateral sclerosis. After about three months of training, this patient gained stable, near-perfect control over his slow cortical potentials. This skill enabled him to operate a specially designed program to communicate messages to his caregivers.

Entities:  

Mesh:

Year:  2002        PMID: 11932820     DOI: 10.1055/s-2002-23578

Source DB:  PubMed          Journal:  Minim Invasive Neurosurg        ISSN: 0946-7211


  4 in total

1.  Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects.

Authors:  Joseph N Mak; Jonathan R Wolpaw
Journal:  IEEE Rev Biomed Eng       Date:  2009

2.  A multimodal brain-based feedback and communication system.

Authors:  Thilo Hinterberger; Nicola Neumann; Mirko Pham; Andrea Kübler; Anke Grether; Nadine Hofmayer; Barbara Wilhelm; Herta Flor; Niels Birbaumer
Journal:  Exp Brain Res       Date:  2003-11-29       Impact factor: 1.972

3.  How standardized are "standard protocols"? Variations in protocol and performance evaluation for slow cortical potential neurofeedback: A systematic review.

Authors:  John Hasslinger; Micaela Meregalli; Sven Bölte
Journal:  Front Hum Neurosci       Date:  2022-09-02       Impact factor: 3.473

4.  Conditional associative learning examined in a paralyzed patient with amyotrophic lateral sclerosis using brain-computer interface technology.

Authors:  Ih Iversen; N Ghanayim; A Kübler; N Neumann; N Birbaumer; J Kaiser
Journal:  Behav Brain Funct       Date:  2008-11-24       Impact factor: 3.759

  4 in total

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