Extraction of Single-Trail N400 Event-Related Potentials Based on Dynamic Independent Component Analysis

被引：1
作者：
Li, Wen-Juan [1 ]
Wu, Xiao-Pei [1 ]
机构：
[1] Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230039, Peoples R China
来源：
ADVANCES IN COGNITIVE NEURODYNAMICS, PROCEEDINGS | 2008年
关键词：
Event-related potential (ERP); EEG; signal-trail extraction; dynamic independent component analysis (DICA);
D O I：
10.1007/978-1-4020-8387-7_93
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
The Independent Component Analysis (ICA) method has a good application in EEG. But ICA algorithm is mostly a combination of static model and batch optimization algorithm. Considering the non-stationary characteristics of event-related potentials, the Dynamic Independent Component Analysis (DICA) based on kurtosis maximization was proposed to single-trail extract the event-related potential N400 which is induced by the Chinese idioms whose last word is incorrect. The DICA method achieved satisfactory results.
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页码：531 / +
页数：2
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