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      Intra-body microwave communication through adipose tissue

      research-article
      1 , 2 , 2 , 3 , 1 , 1 , 4 , 5 , 6 , 1 ,
      Healthcare Technology Letters
      The Institution of Engineering and Technology
      electromagnetic wave transmission, body sensor networks, biological tissues, phantoms, dielectric losses, electromagnetic wave transmission, wireless body sensor networks, transmission losses, water, salts, lateral intrabody microwave communication, biological tissue layers, tissue thicknesses, signal coupling, R-band frequencies, industrial radio band, scientific radio band, medical radio band, electromagnetic simulations, equivalent phantom, ex-vivo measurements, adipose tissue layer, phantom measurements, dielectric losses, A8760G, Microwaves and other electromagnetic waves (medical uses), B7510L, Microwaves and other electromagnetic waves (biomedical imaging/measurement), B7550, Biomedical communication, B6250K, Wireless sensor networks

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          Abstract

          The human body can act as a medium for the transmission of electromagnetic waves in the wireless body sensor networks context. However, there are transmission losses in biological tissues due to the presence of water and salts. This Letter focuses on lateral intra-body microwave communication through different biological tissue layers and demonstrates the effect of the tissue thicknesses by comparing signal coupling in the channel. For this work, the authors utilise the R-band frequencies since it overlaps the industrial, scientific and medical radio (ISM) band. The channel model in human tissues is proposed based on electromagnetic simulations, validated using equivalent phantom and ex-vivo measurements. The phantom and ex-vivo measurements are compared with simulation modelling. The results show that electromagnetic communication is feasible in the adipose tissue layer with a low attenuation of ∼2 dB per 20 mm for phantom measurements and 4 dB per 20 mm for ex-vivo measurements at 2 GHz. Since the dielectric losses of human adipose tissues are almost half of ex-vivo tissue, an attenuation of around 3 dB per 20 mm is expected. The results show that human adipose tissue can be used as an intra-body communication channel.

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          Most cited references5

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          Implanted Antennas Inside a Human Body: Simulations, Designs, and Characterizations

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            Ultra-wideband statistical propagation channel model for implant sensors in the human chest

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              Microwave bone imaging: a preliminary scanning system for proof-of-concept

              This Letter introduces a feasibility study of a scanning system for applications in biomedical bone imaging operating in the microwave range 0.5–4 GHz. Mechanical uncertainties and data acquisition time are minimised by using a fully automated scanner that controls two antipodal Vivaldi antennas. Accurate antenna positioning and synchronisation with data acquisition enables a rigorous proof-of-concept for the microwave imaging procedure of a multi-layer phantom including skin, fat, muscle and bone tissues. The presence of a suitable coupling medium enables antenna miniaturisation and mitigates the impedance mismatch between antennas and phantom. The three-dimensional image of tibia and fibula is successfully reconstructed by scanning the multi-layer phantom due to the distinctive dielectric contrast between target and surrounding tissues. These results show the viability of a microwave bone imaging technology which is low cost, portable, non-ionising, and does not require specially trained personnel. In fact, as no a-priori characterisation of the antenna is required, the image formation procedure is very conveniently simplified.
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                Author and article information

                Contributors
                Journal
                Healthc Technol Lett
                Healthc Technol Lett
                HTL
                Healthcare Technology Letters
                The Institution of Engineering and Technology
                2053-3713
                23 May 2017
                August 2017
                23 May 2017
                : 4
                : 4
                : 115-121
                Affiliations
                [1 ]Department of Engineering Sciences, Solid State Electronics, Uppsala University , SE-751 21 Uppsala, Sweden
                [2 ]Department of Computing Science, Umeå University , SE-901 87 Umeå, Sweden
                [3 ]Department of Electronics and Electrical Communications, Menoufia University , 32952 Menouf, Egypt
                [4 ]Department of Surgery, Maastricht University Medical Center+ , P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
                [5 ]Department of Medical Sciences, Transplantation and Regenerative Medicine, University Hospital , SE-751 85 Uppsala, Sweden
                [6 ]Department of Information Technology, Division of Computer Systems, Uppsala University , SE-751 21 Uppsala, Sweden
                Article
                HTL.2016.0104 HTL.2016.0104.R1
                10.1049/htl.2016.0104
                5569712
                5616d6d5-d02d-4c44-bb72-5f55377b7739

                This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License ( http://creativecommons.org/licenses/by-nc-nd/3.0/)

                History
                : 12 December 2016
                : 29 March 2017
                : 3 April 2017
                Funding
                Funded by: Vetenskapsrådet
                Award ID: eSSENCE
                Funded by: Universiti Teknikal Malaysia Melaka
                Funded by: Eurostars
                Award ID: E!9655 - COMFORT
                Funded by: Vinnova-DST
                Award ID: BDAS
                Funded by: Ministry of Higher Education, Malaysia
                Categories
                Article

                electromagnetic wave transmission,body sensor networks,biological tissues,phantoms,dielectric losses,wireless body sensor networks,transmission losses,water,salts,lateral intrabody microwave communication,biological tissue layers,tissue thicknesses,signal coupling,r-band frequencies,industrial radio band,scientific radio band,medical radio band,electromagnetic simulations,equivalent phantom,ex-vivo measurements,adipose tissue layer,phantom measurements

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