Automated identification of human-body model parameters

Issue title: Selected Papers from ISEF 2015

Guest editors: Paolo Di Barba and Sƚawomir Wiak

Article type: Research Article

Authors: Januszkiewicz, Ƚukasz^{a; *} | Barba, Paolo Di^b | Hausman, Sƚawomir^a

Affiliations: [a] Politechnika Ƚódzka, Instytut Elektroniki, ul. Wólczańska, Ƚódź, Poland | [b] Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy

Correspondence: [*] Corresponding author: Ƚukasz Januszkiewicz, Politechnika Ƚódzka, Instytut Elektroniki, ul. Wólczańska 211/215, 90-924 Ƚódź, Poland. Tel.: +48 (+42) 631 26 14; E-mail:[email protected]

Abstract: 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.

Keywords: Parameter identification, evolutionary computing, finite-difference time domain, human body model, wearable antennas

DOI: 10.3233/JAE-2009

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 51, no. s1, pp. S41-S47, 2016