Fast and robust localization of brain electrical sources using evolution strategies: Monte-carlo simulation and phantom experiment studies

被引：6
|
作者：
Im, CH [1 ]
Jung, HK
Han, JY
Lee, HR
Lee, SY
机构：
[1] Seoul Natl Univ, Sch Elect Engn, Seoul 151, South Korea
[2] Kyung Hee Univ, Grad Sch East West Med Sci, Seoul, South Korea
来源：
INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS | 2004年 / 20卷 / 3-4期
关键词：
D O I：
10.3233/JAE-2004-665
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper mu + square evolution strategy (ES) was applied to brain electrical source localization problems using electroencephalography (EEG). The results by the ES were compared to those by simulated annealing (SA) and genetic algorithm (GA). which have been typically used for the brain source localizations. Monte-Carlo simulation and phantom experiment study demonstrated that the use of ES could enhance both accuracy and computational efficiency.
引用
收藏
页码：197 / 203
页数：7
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