A method for extracting subspace of deterministic sources from EEG data

被引：0
|
作者：
Ivannikov, Andriy [1 ]
Kaerkkaeinen, Tommi [1 ]
Ristaniemi, Tapani [1 ]
Lyytinen, Heikki [2 ]
机构：
[1] Univ Jyvaskyla, Dept Math Informat Technol, SF-40351 Jyvaskyla, Finland
[2] Univ Jyvaskyla, Dept Psychol, Jyvaskyla, Finland
来源：
2008 3RD INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS, CONTROL AND SIGNAL PROCESSING, VOLS 1-3 | 2008年
关键词：
D O I：
10.1109/ISCCSP.2008.4537438
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, an algorithm for separating linear subspaces of time-locked brain responses and other noise sources in multichannel electroencephalography data is proposed. The search criterion used by method discriminates time-locked brain components and noise components on the basis of the assumed deterministic behavior that the time-locked brain sources obey. The comprehensive derivation of the method is given together with the description and the analysis of the results of the method's application to simulated and real EEG data sets. The possibilities of improving the results are also discussed.
引用
收藏
页码：1361 / +
页数：2
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