Literature DB >> 10896179

The mental prosthesis: assessing the speed of a P300-based brain-computer interface.

E Donchin1, K M Spencer, R Wijesinghe.   

Abstract

We describe a study designed to assess a brain-computer interface (BCI), originally described by Farwell and Donchin [9] in 1988. The system utilizes the fact that the rare events in the oddball paradigm elicit the P300 component of the event-related potential (ERP). The BCI presents the user with a matrix of 6 by 6 cells, each containing one letter of the alphabet. The user focuses attention on the cell containing the letter to be communicated while the rows and the columns of the matrix are intensified. Each intensification is an event in the oddball sequence, the row and the column containing the attended cell are "rare" items and, therefore, only these events elicit a P300. The computer thus detects the transmitted character by determining which row and which column elicited the P300. We report an assessment, using a boot-strapping approach, which indicates that an off line version of the system can communicate at the rate of 7.8 characters a minute and achieve 80% accuracy. The system's performance in real time was also assessed. Our data indicate that a P300-based BCI is feasible and practical. However, these conclusions are based on tests using healthy individuals.

Mesh:

Year:  2000        PMID: 10896179     DOI: 10.1109/86.847808

Source DB:  PubMed          Journal:  IEEE Trans Rehabil Eng        ISSN: 1063-6528


  124 in total

1.  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

2.  Classification of multichannel EEG patterns using parallel hidden Markov models.

Authors:  Dror Lederman; Joseph Tabrikian
Journal:  Med Biol Eng Comput       Date:  2012-03-10       Impact factor: 2.602

3.  Does the 'P300' speller depend on eye gaze?

Authors:  P Brunner; S Joshi; S Briskin; J R Wolpaw; H Bischof; G Schalk
Journal:  J Neural Eng       Date:  2010-09-21       Impact factor: 5.379

4.  Development of a Wearable Motor-Imagery-Based Brain-Computer Interface.

Authors:  Bor-Shing Lin; Jeng-Shyang Pan; Tso-Yao Chu; Bor-Shyh Lin
Journal:  J Med Syst       Date:  2016-01-09       Impact factor: 4.460

5.  EEG Source Imaging Enhances the Decoding of Complex Right-Hand Motor Imagery Tasks.

Authors:  Bradley J Edelman; Bryan Baxter; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-12       Impact factor: 4.538

6.  Exploration of computational methods for classification of movement intention during human voluntary movement from single trial EEG.

Authors:  Ou Bai; Peter Lin; Sherry Vorbach; Jiang Li; Steve Furlani; Mark Hallett
Journal:  Clin Neurophysiol       Date:  2007-10-29       Impact factor: 3.708

7.  Toward enhanced P300 speller performance.

Authors:  D J Krusienski; E W Sellers; D J McFarland; T M Vaughan; J R Wolpaw
Journal:  J Neurosci Methods       Date:  2007-08-01       Impact factor: 2.390

8.  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

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.  Detection of movement-related potentials from the electro-encephalogram for possible use in a brain-computer interface.

Authors:  E Yom-Tov; G F Inbar
Journal:  Med Biol Eng Comput       Date:  2003-01       Impact factor: 2.602

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