DocumentCode
2373517
Title
MLSP Competition, 2010: Description of second place method
Author
Iscan, Zafer
Author_Institution
Dept. of Electron. & Commun. Eng., Istanbul Tech. Univ., Istanbul, Turkey
fYear
2010
fDate
Aug. 29 2010-Sept. 1 2010
Firstpage
114
Lastpage
115
Abstract
In this paper, the classification method which generated the second highest AUC (the area under the ROC curve) in the MLSP 2010 Competition is presented. After application of some pre-processing steps to the dataset, by using statistical information, proper weights are found which maximize the separability between the P300 and the non-P300 responses. The classification method is simple and very suitable for online brain-computer interface (BCI) applications due to its fast algorithm.
Keywords
brain-computer interfaces; medical signal processing; pattern classification; statistical analysis; classification method; online brain-computer interface applications; statistical information; Band pass filters; Computer interfaces; Correlation; Equations; Feature extraction; Principal component analysis; Training; BCI; P300; PCA; T-statistic;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning for Signal Processing (MLSP), 2010 IEEE International Workshop on
Conference_Location
Kittila
ISSN
1551-2541
Print_ISBN
978-1-4244-7875-0
Electronic_ISBN
1551-2541
Type
conf
DOI
10.1109/MLSP.2010.5589246
Filename
5589246
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