Literature DB >> 2461285

Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials.

L A Farwell1, E Donchin.   

Abstract

This paper describes the development and testing of a system whereby one can communicate through a computer by using the P300 component of the event-related brain potential (ERP). Such a system may be used as a communication aid by individuals who cannot use any motor system for communication (e.g., 'locked-in' patients). The 26 letters of the alphabet, together with several other symbols and commands, are displayed on a computer screen which serves as the keyboard or prosthetic device. The subject focuses attention successively on the characters he wishes to communicate. The computer detects the chosen character on-line and in real time. This detection is achieved by repeatedly flashing rows and columns of the matrix. When the elements containing the chosen character are flashed, a P300 is elicited, and it is this P300 that is detected by the computer. We report an analysis of the operating characteristics of the system when used with normal volunteers, who took part in 2 experimental sessions. In the first session (the pilot study/training session) subjects attempted to spell a word and convey it to a voice synthesizer for production. In the second session (the analysis of the operating characteristics of the system) subjects were required simply to attend to individual letters of a word for a specific number of trials while data were recorded for off-line analysis. The analyses suggest that this communication channel can be operated accurately at the rate of 0.20 bits/sec. In other words, under the conditions we used, subjects can communicate 12.0 bits, or 2.3 characters, per min.

Entities:  

Mesh:

Year:  1988        PMID: 2461285     DOI: 10.1016/0013-4694(88)90149-6

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  405 in total

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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.  Control of a visual keyboard using an electrocorticographic brain-computer interface.

Authors:  Dean J Krusienski; Jerry J Shih
Journal:  Neurorehabil Neural Repair       Date:  2010-10-04       Impact factor: 3.919

3.  Predictive spelling with a P300-based brain-computer interface: Increasing the rate of communication.

Authors:  D B Ryan; G E Frye; G Townsend; D R Berry; S Mesa-G; N A Gates; E W Sellers
Journal:  Int J Hum Comput Interact       Date:  2011-01-01       Impact factor: 3.353

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

Authors:  Ozair Idris Khan; Faisal Farooq; Faraz Akram; Mun-Taek Choi; Seung Moo Han; Tae-Seong Kim
Journal:  Med Biol Eng Comput       Date:  2012-01-17       Impact factor: 2.602

5.  Whether generic model works for rapid ERP-based BCI calibration.

Authors:  Jing Jin; Eric W Sellers; Yu Zhang; Ian Daly; Xingyu Wang; Andrzej Cichocki
Journal:  J Neurosci Methods       Date:  2012-09-29       Impact factor: 2.390

6.  Real-time two-dimensional asynchronous control of a computer cursor with a single subdural electrode.

Authors:  César Márquez-Chin; Milos R Popovic; Egor Sanin; Robert Chen; Andres M Lozano
Journal:  J Spinal Cord Med       Date:  2012-09       Impact factor: 1.985

7.  A probabilistic approach for calibration time reduction in hybrid EEG-fTCD brain-computer interfaces.

Authors:  Aya Khalaf; Murat Akcakaya
Journal:  Biomed Eng Online       Date:  2020-04-16       Impact factor: 2.819

8.  The advantages of the surface Laplacian in brain-computer interface research.

Authors:  Dennis J McFarland
Journal:  Int J Psychophysiol       Date:  2014-08-01       Impact factor: 2.997

9.  Enhancing P300-BCI performance using latency estimation.

Authors:  Md Rakibul Mowla; Jane E Huggins; David E Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2017-06-28

10.  The neural dynamics of face detection in the wild revealed by MVPA.

Authors:  Maxime Cauchoix; Gladys Barragan-Jason; Thomas Serre; Emmanuel J Barbeau
Journal:  J Neurosci       Date:  2014-01-15       Impact factor: 6.167

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