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Online Detection of P300 and Error Potentials in a BCI Speller
Joint Authors
Dal Seno, Bernardo
Mainardi, Luca
Matteucci, Matteo
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-02-11
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Error potentials (ErrPs), that is, alterations of the EEG traces related to the subject perception of erroneous responses, have been suggested to be an elegant way to recognize misinterpreted commands in brain-computer interface (BCI) systems.
We implemented a P300-based BCI speller that uses a genetic algorithm (GA) to detect P300s, and added an automatic error-correction system (ECS) based on the single-sweep detection of ErrPs.
The developed system was tested on-line on three subjects and here we report preliminary results.
In two out of three subjects, the GA provided a good performance in detecting P300 (90% and 60% accuracy with 5 repetitions), and it was possible to detect ErrP with an accuracy (roughly 60%) well above the chance level.
In our knowledge, this is the first time that ErrP detection is performed on-line in a P300-based BCI.
Preliminary results are encouraging, but further refinements are needed to improve performances.
American Psychological Association (APA)
Dal Seno, Bernardo& Matteucci, Matteo& Mainardi, Luca. 2010. Online Detection of P300 and Error Potentials in a BCI Speller. Computational Intelligence and Neuroscience،Vol. 2010, no. 2010, pp.1-5.
https://search.emarefa.net/detail/BIM-462138
Modern Language Association (MLA)
Dal Seno, Bernardo…[et al.]. Online Detection of P300 and Error Potentials in a BCI Speller. Computational Intelligence and Neuroscience No. 2010 (2010), pp.1-5.
https://search.emarefa.net/detail/BIM-462138
American Medical Association (AMA)
Dal Seno, Bernardo& Matteucci, Matteo& Mainardi, Luca. Online Detection of P300 and Error Potentials in a BCI Speller. Computational Intelligence and Neuroscience. 2010. Vol. 2010, no. 2010, pp.1-5.
https://search.emarefa.net/detail/BIM-462138
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-462138