Literature DB >> 19351359

A brain-computer interface controlled auditory event-related potential (p300) spelling system for locked-in patients.

Andrea Kübler1, Adrian Furdea, Sebastian Halder, Eva Maria Hammer, Femke Nijboer, Boris Kotchoubey.   

Abstract

Using brain-computer interfaces (BCI) humans can select letters or other targets on a computer screen without any muscular involvement. An intensively investigated kind of BCI is based on the recording of visual event-related brain potentials (ERP). However, some severely paralyzed patients who need a BCI for communication have impaired vision or lack control of gaze movement, thus making a BCI depending on visual input no longer feasible. In an effort to render the ERP-BCI usable for this group of patients, the ERP-BCI was adapted to auditory stimulation. Letters of the alphabet were assigned to cells in a 5 x 5 matrix. Rows of the matrix were coded with numbers 1 to 5, and columns with numbers 6 to 10, and the numbers were presented auditorily. To select a letter, users had to first select the row and then the column containing the desired letter. Four severely paralyzed patients in the end-stage of a neurodegenerative disease were examined. All patients performed above chance level. Spelling accuracy was significantly lower with the auditory system as compared with a similar visual system. Patients reported difficulties in concentrating on the task when presented with the auditory system. In future studies, the auditory ERP-BCI should be adjusted by taking into consideration specific features of severely paralyzed patients, such as reduced attention span. This adjustment in combination with more intensive training will show whether an auditory ERP-BCI can become an option for visually impaired patients.

Entities:  

Mesh:

Year:  2009        PMID: 19351359     DOI: 10.1111/j.1749-6632.2008.04122.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  65 in total

Review 1.  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 2.  Brain computer interfaces, a review.

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

3.  A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns.

Authors:  G Townsend; B K LaPallo; C B Boulay; D J Krusienski; G E Frye; C K Hauser; N E Schwartz; T M Vaughan; J R Wolpaw; E W Sellers
Journal:  Clin Neurophysiol       Date:  2010-03-26       Impact factor: 3.708

4.  Brain-computer interface: current and emerging rehabilitation applications.

Authors:  Janis J Daly; Jane E Huggins
Journal:  Arch Phys Med Rehabil       Date:  2015-03       Impact factor: 3.966

Review 5.  Guidelines for Feature Matching Assessment of Brain-Computer Interfaces for Augmentative and Alternative Communication.

Authors:  Kevin M Pitt; Jonathan S Brumberg
Journal:  Am J Speech Lang Pathol       Date:  2018-08-06       Impact factor: 2.408

6.  Usage of drip drops as stimuli in an auditory P300 BCI paradigm.

Authors:  Minqiang Huang; Jing Jin; Yu Zhang; Dewen Hu; Xingyu Wang
Journal:  Cogn Neurodyn       Date:  2017-11-16       Impact factor: 5.082

7.  Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis.

Authors:  Lynn M McCane; Eric W Sellers; Dennis J McFarland; Joseph N Mak; C Steve Carmack; Debra Zeitlin; Jonathan R Wolpaw; Theresa M Vaughan
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2014-02-20       Impact factor: 4.092

8.  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

9.  Temporal coding of brain patterns for direct limb control in humans.

Authors:  Gernot R Müller-Putz; Reinhold Scherer; Gert Pfurtscheller; Christa Neuper
Journal:  Front Neurosci       Date:  2010-06-18       Impact factor: 4.677

10.  (C)overt attention and visual speller design in an ERP-based brain-computer interface.

Authors:  Matthias S Treder; Benjamin Blankertz
Journal:  Behav Brain Funct       Date:  2010-05-28       Impact factor: 3.759

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