Optimization of electromagnetic wave focusing in heterogeneous biological tissue model

Faktorová, Dagmar; Isteníková, Katarína

doi:10.3233/jae-141908

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…Numerical models of the human body are widely used for electromagnetic simulation in computer codes based, for example, on finite difference time domain (FDTD) or finite element methods. Human body models are utilized for numerous applications (Uno et al , 2010; Dissanayake et al , 2009; Januszkiewicz and Hausman, 2015; Januszkiewicz, 2014; Golovanov et al , 2001; Faktorová and Isteníková, 2014). The most common of them is electromagnetic dosimetry, which estimates the amount of energy of electromagnetic wave absorbed by the human body represented by SAR parameter – specific absorption rate.…”

Section: Dual-band Wearable Antennamentioning

confidence: 99%

Hierarchical paradigm for automated optimal design of dual-band wearable antenna with simplified human body models

Januszkiewicz

Barba

Hausman

2018

COMPEL

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Purpose The purpose of this study is to develop a method to reduce the computation time necessary for the automated optimal design of dual-band wearable antennas. In particular, the authors investigated if this can be achieved by the use of a hierarchical optimization paradigm combined with a simplified human body model. The geometry of the antenna under consideration is described via eight geometrical parameters which are automatically adjusted with the use of an evolutionary algorithm to improve the impedance matching of an antenna located in the proximity of a human body. Specifically, the antennas were designed to operate in the ISM band which covers two frequency ranges: 2.4-2.5 GHz and 5.7-5.9 GHz. Design/methodology/approach During the studies on the automated design of wearable antennas using evolutionary computing, the authors observed that not all design parameters exhibit equal influence on the objective function. Therefore, it was hypothesized that to reduce the computation effort, the design parameters can be activated sequentially based on their influence. Accordingly, the authors’ computer code has been modified to include this feature. Findings The authors’ novel hierarchical multi-parameter optimization method was able to converge to a better solution within a shorter time compared to an equivalent method not exploiting automatic activation of an increasing number of design parameters. Considering a significant computational cost involved in the calculation of the objective function, this exhibits a convincing advantage of their hierarchical approach, at least for the considered class of antennas. Research limitations/implications The described method has been developed for the design of single- or dual-band wearable antennas. Its application to other classes of antennas and antenna environments may require some adjustments of the objective functions or parameter values of the evolutionary algorithm. It follows from the well-recognized fact that all optimization methods are to some extent application-specific. Practical implications Computation load involved in the automated design and optimization can be significantly reduced compared to the non-hierarchical approach with a heterogeneous human body model. Originality/value To the best of the authors’ knowledge, the described application of hierarchical paradigm to the optimization of wearable antennas is fully original, as well as is its combination with simplified body models.

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Section: Dual-band Wearable Antennamentioning

confidence: 99%

Hierarchical paradigm for automated optimal design of dual-band wearable antenna with simplified human body models

Januszkiewicz

Barba

Hausman

2018

COMPEL

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Design and analysis of mobile phone casing for the reduction of EM absorption

Hossain

Faruque

Islam

et al. 2015

International Journal of Applied Electromagnetics and Mechanics

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A new design and analysis of cellular phone casing based on shielding technique is presented in this study to reduce the EM absorption in the human head. A dual band PIFA is designed to operate at 900 MHz and 1900 MHz GSM frequency bands as an internal handset antenna. The specific absorption rate (SAR) in the human head and total absorbed power by the cell phone user are calculated along with antenna performances. It is found that the SAR in the head is reduced due to the proposed casing considerably for both the lower and upper frequency bands. The new mobile casing provides 48.2% reduction in the SAR at 900 MHz and 44.8% reduction at 1900 MHz. In addition, the mobile casing improves the radiation efficiency for 6% and 7% in comparison with without casing configuration at the lower and upper GSM frequency bands respectively.

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Microwave sensor for non-destructive dielectric characterization of biological systems

Jilani

Wen

Rehman

et al. 2016

JAE

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Optimization of electromagnetic wave focusing in heterogeneous biological tissue model

Cited by 5 publications

References 6 publications

Hierarchical paradigm for automated optimal design of dual-band wearable antenna with simplified human body models

Hierarchical paradigm for automated optimal design of dual-band wearable antenna with simplified human body models

Design and analysis of mobile phone casing for the reduction of EM absorption

Microwave sensor for non-destructive dielectric characterization of biological systems

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