On‐body radio channel modeling for different human body models using FDTD techniques

Terchoune, Hanae; Lautru, David; Gati, Azeddine; Carrasco, Albert Cortel; Wong, M.F.; Wiart, Joe; Hanna, Victor Fouad

doi:10.1002/mop.24592

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…The FDTD method uses the Yee second-order differences on a staggered grid; it is programmed according to Ref. [1]. For simplicity, we only use the first-order Mur's ABCs [7] augmented with the superabsorption update [8] for the magnetic field.…”

Section: Transfer Functions In Time Domainmentioning

confidence: 99%

On accuracy of simple FDTD models for the simulation of human body path loss

Makarov

Khan

Islam

et al. 2011

2011 IEEE Sensors Applications Symposium

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This paper compares a basic, MATLAB coded, timedomain FDTD formulation for the path loss around the human body with accurate FEM modeling in Ansoft HFSS (ANSYS). We show that the time domain FDTD analysis yields comparable results even though it uses a homogeneous body model and simple boundary conditions. Reasons for this important observation are investigated. The present study only considers the exterior TX and RX antennas, which are located close to the body. A more detailed FDTD simulation of on-body antennas [1] is currently underway.

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Section: Transfer Functions In Time Domainmentioning

confidence: 99%

On accuracy of simple FDTD models for the simulation of human body path loss

Makarov

Khan

Islam

et al. 2011

2011 IEEE Sensors Applications Symposium

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“…In the literature, when the anthropomorphic variability is statistically considered the subjects are often similar with close morphology characteristics (typically young men, rather thin and of medium height) [8][9][10]. In the latter publications, on the one hand there is no specific statistical study of the influence of morphology and on the other hand, although the results are based on measurement campaigns with human subjects, the considered "morphological variability" is not really representative of the real population.…”

Section: Introductionmentioning

confidence: 99%

A Statistical Assessment of Anthropomorphic Characteristics Impacts on WBAN Communications

Youssef

Roblin

2022

2022 16th European Conference on Antennas and Propagation (EuCAP)

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In Wireless Body Area Networks (WBAN), the subject characteristics (morphology, including gender, posture and movement) are among the main sources of the channel variability. The objective of this communication is to highlight statistically the influence of the anthropomorphic characteristics on the on-body channel. To do it, we have simulated five radio links on five homogeneous men subjects with different morphological characteristics. Experimental results obtained for some radio links have been used to support the relevance of the simulations. Within the framework of this first semi-quantitative approach, this communication is limited to the modeling of the Path Loss as a function of two quantitative morphological parameters that are the Body Mass Index (considering different body heights and fatness) and the Waist Circumference. The objective is to identify the main trends and to extract "semi-quantitative" models giving the orders of magnitude of the variability for each radio link. The latter typically ranges from 4 to 10.6 dB for the phantoms considered (except for a link for which the variations are limited to approximately 2 dB). This analysis is motivated by the importance of the variability obtained.

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“…Although different works in modeling the radio propagation in computer based simulation [1,10,21] have been done, the amount of research work estimating the empirical path loss response of the real biological tissue in MICS band communications is not adequate. In order to evaluate these electro-magnetic (EM) parameters in in-vitro conditions, an environment that has a close resemblance to tissue is required.…”

Section: Introductionmentioning

confidence: 99%

Towards Implantable Body Sensor Networks - Performance of MICS Band Radio Communication in Animal Tissue

Ramachandran

Zhang

Meratnia

et al. 2015

Proceedings of the 10th EAI International Conference on Body Area Networks

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Reliable wireless communication inside the human body is crucial for the design of implantable body sensor networks (IBSN). The tissues in human body are heterogeneous and have different conductivity and permittivity, which make the modeling of the wireless channel challenging. The design of upper layers of the network stack requires the physical layer characteristics including the channel model. Currently, there is no unique channel model available for implant communication inside body. Various measurement campaigns of channel characteristics are underway. The channel model characteristics depends on the hardware components used such as antenna and matching circuit as well as the operating frequency, which are not taken into account by the existing channel models for implant communication. Moreover, hardware losses and different tissue characteristics have not been taken into account in the link budget of the existing channel models. The approach used in this paper pays special attention to the losses introduced by hardware components of the implant itself and the physical medium. This paper presents characteristics of radio channel using animal tissue. A comparison is made between these measured characteristics and the existing channel characteristics provided by the IEEE 802.15.6 standard. The empirical measurements are used to validate the simulations of the IEEE 802.15.6 model.

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On‐body radio channel modeling for different human body models using FDTD techniques

Cited by 4 publications

References 10 publications

On accuracy of simple FDTD models for the simulation of human body path loss

On accuracy of simple FDTD models for the simulation of human body path loss

A Statistical Assessment of Anthropomorphic Characteristics Impacts on WBAN Communications

Towards Implantable Body Sensor Networks - Performance of MICS Band Radio Communication in Animal Tissue

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