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Single trial independent component analysis for P300 BCI system.
- Source :
-
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2009; Vol. 2009, pp. 4035-8. - Publication Year :
- 2009
-
Abstract
- A Brain Computer Interface (BCI) is a device that allows the user to communicate with the world without utilizing voluntary muscle activity (i.e., using only the electrical activity of the brain). It makes use of the well-studied observation that the brain reacts differently to different stimuli, as a function of the level of attention allotted to the stimulus stream and the specific processing triggered by the stimulus. In this article we present a single trial independent component analysis (ICA) method that is working with a BCI system proposed by Farwell and Donchin. It can dramatically reduce the signal processing time and improve the data communicating rate. This ICA method achieved 76.67% accuracy on single trial P300 response identification.
- Subjects :
- Algorithms
Artificial Intelligence
Brain physiology
Electroencephalography methods
Humans
Man-Machine Systems
Pattern Recognition, Automated methods
Reproducibility of Results
Signal Processing, Computer-Assisted
Time Factors
User-Computer Interface
Data Interpretation, Statistical
Event-Related Potentials, P300 physiology
Subjects
Details
- Language :
- English
- ISSN :
- 2375-7477
- Volume :
- 2009
- Database :
- MEDLINE
- Journal :
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
- Publication Type :
- Academic Journal
- Accession number :
- 19964338
- Full Text :
- https://doi.org/10.1109/IEMBS.2009.5333745