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

Issue title: ASAEM 2003

Article type: Research Article

Authors: Im, Chang-Hwan^{a; *} | Jung, Hyun-Kyo^a | Han, Jae Yong^b | Lee, Hang Ro^b | Lee, Soo Yeol^b

Affiliations: [a] School of Electrical Engineering, Seoul National University, Korea | [b] Graduate School of East-West Medical Science, Kyung Hee University, Korea

Correspondence: [*] Corresponding author. E-mail: ichism@elecmech.snu.ac.kr

Abstract: In this paper, μ + □ 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.

DOI: 10.3233/JAE-2004-665

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 20, no. 3-4, pp. 197-203, 2004