BCI competition 2003 - Data set IIb: Support vector machines for the P300 speller paradigm

被引：349

作者：

Kaper, M ^{[1
]}

Meinicke, P

Grossekathoefer, U

Lingner, T

Ritter, H

机构：

[1] Univ Bielefeld, Fac Technol, Neuroinformat Grp, D-33501 Bielefeld, Germany

[2] Univ Gottingen, Bioinformat Dept, D-37077 Gottingen, Germany

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2004年 / 51卷 / 06期

关键词：

BCI competition 2003; brain-computer interface; P300; speller; SVM;

D O I：

10.1109/TBME.2004.826698

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We propose an approach to analyze data from the P300 speller paradigm using the machine-learning technique support vector machines. In a conservative classification scheme, we found the correct solution after five repetitions. While the classification within the competition is designed for offline analysis, our approach is also well-suited for a real-world online solution: It is fast, requires only 10 electrode positions and demands only a small amount of preprocessing.

引用

页码：1073 / 1076

页数：4

共 12 条

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