Automated identification of human-body model parameters

被引：7
|
作者：
Januszkiewicz, Lukasz [1 ]
Di Barba, Paolo [2 ]
Hausman, Slawomir [1 ]
机构：
[1] Tech Univ Lodz, Inst Elekt, Ul Wolczanska, Lodz, Poland
[2] Univ Pavia, Dept Elect Comp & Biomed Engn, Via Palestro 3, I-27100 Pavia, Italy
来源：
INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS | 2016年 / 51卷
关键词：
Parameter identification; evolutionary computing; finite-difference time domain; human body model; wearable antennas; OPTIMIZATION;
D O I：
10.3233/JAE-2009
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：
The paper presents the exploitation of a lowest-order algorithm of evolutionary computing (EStra) for identifying the parameters of a simplified human body model (phantom). A simplified model is well suited in view of the computationally-expensive field simulation of wearable antennas located in a close proximity to the human body. In the paper, an automated procedure based on evolutionary computing and Finite Difference Time Domain (FDTD) computational electrodynamics method is proposed to identify the parameters of the simplified model. Subsequently, after identifying the parameter values, the simplified model is compared to a heterogeneous anthropomorphic human-body model. The comparison is based on the analysis of impedance matching of the same dipole antenna located on both the anthropomorphic and simplified phantoms.
引用
收藏
页码：S41 / S47
页数：7
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