The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
An improved P300-based brain-computer interface
Abstract
A brain-computer interface (BCI) is a system for direct communication between brain and computer. The BCI developed in this work is based on a BCI described by Farwell and Donchin in 1988, which allows a subject to communicate one of 36 symbols presented on a 6 x 6 matrix. The system exploits the P300 component of event-related brain potentials (ERP) as a medium for communication. The processing methods distinguish this work from Donchin's work. In this work, independent component analysis (ICA) was used to separate the P300 source from the background noise. A matched filter was used together with averaging and threshold techniques for detecting the existence of P300s. The processing method was evaluated offline on data recorded from six healthy subjects. The method achieved a communication rate of 5.45 symbols/min with an accuracy of 92.1% compared to 4.8 symbols/min with an accuracy of 90% in Donchin's work. The online interface was tested with the same six subjects. The average communication rate achieved was 4.5 symbols/min with an accuracy of 79.5 % as apposed to the 4.8 symbols/min with an accuracy of 56 % in Donchin's work. The presented BCI achieves excellent performance compared to other existing BCIs, and allows a reasonable communication rate, while maintaining a low error rate.
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Cites
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Cited by
Brain–computer interfaces in neurological rehabilitation
Daly, J. J., & Wolpaw, J. R. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70223-0 · Cited by 1,149
Bashashati, A., Fatourechi, M., Ward, R. K., & Birch, G. E. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/r03 · Cited by 907
An efficient P300-based brain–computer interface for disabled subjects
Hoffmann, U., Vesin, J.-M., Ebrahimi, T., & Diserens, K. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.005 · Cited by 859
Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces
Cecotti, H., & Graser, A. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.125 · Cited by 778
A comparison of classification techniques for the P300 Speller
Krusienski, D. J., Sellers, E. W., Cabestaing, F., Bayoudh, S., McFarland, D. J., Vaughan, T. M., & Wolpaw, J. R. (2006) · Journal of Neural Engineering · doi:10.1088/1741-2560/3/4/007 · Cited by 762
Metadata
- Authors
- Serby, H., Yom-Tov, E., & Inbar, G. F.
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2005-03
- Volume
- 13
- Issue
- 1
- Pages
- 89-98
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2120535393
- Cited by
- 403
- References
- 39
- FWCI
- 10.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- Serby, H., Yom-Tov, E., & Inbar, G. F. (2005). An improved P300-based brain-computer interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/tnsre.2004.841878
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