Resistivity parameters estimation based on 2D real head model using improved differential evolution algorithm

Ying Li; Guizhi Xu; Lei Guo; Lei Wang; Shuo Yang; Liyun Rao; Renjie He; Weili Yan

doi:10.1109/IEMBS.2006.260930

Resistivity parameters estimation based on 2D real head model using improved differential evolution algorithm

Conf Proc IEEE Eng Med Biol Soc. 2006:Suppl:6720-3. doi: 10.1109/IEMBS.2006.260930.

Authors

Ying Li¹, Guizhi Xu, Lei Guo, Lei Wang, Shuo Yang, Liyun Rao, Renjie He, Weili Yan

Affiliation

¹ Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130, China. yli@hebut.edu.cn

PMID: 17959495
DOI: 10.1109/IEMBS.2006.260930

Abstract

The improved Differential Evolution (DE)algorithm is proposed in this paper to solve the resistivity parameters estimation problem based on 2D real head model. Our simulations demonstrate that the improved DE algorithm is robust in obtaining high quality reconstruction, and the convergence is much faster than the usual DE algorithm.Furthermore, the selection of the amplification parameters is much easier.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Computer Simulation*
Head / anatomy & histology*
Humans
Models, Anatomic*