Far-field characterization of wave oblique incidence on body channel for implant communication by using an analytical model

References

• IEEE Std 802.15.6. “IEEE standard for local and metropolitan area networks― part 15.6: Wireless body area networks,” 2012.
   Google Scholar
• Misra S, Moulik S, Chao H-C. A cooperative bargaining solution for priority-based data-rate tuning in a wireless body area network. IEEE Trans Wirel Commun. 2015;14(5):2769–2777.
   Web of Science ®Google Scholar
• Chavez-Santiago R, Sayrafian-Pour K, Khaleghi A, et al. Propagation models for IEEE 802.15.6 standardization of implant communication in body area networks. IEEE Commun Mag. 2013;51(8):80–87.
   Web of Science ®Google Scholar
• Lin J, Bernardi P. Computational methods for predicting field intensity and temperature change. hand book of biological effects of electromagnetic fields: bioengineering and biophysical aspects of electromagnetic fields. New York: Taylor & Francis Group, LLC; 2006. pp. 294–343
   Google Scholar
• Alomainy A, Hao Y. Modeling and Characterization of biotelemetric radio channel from ingested implants considering organ contents. IEEE Trans Antennas Propag. 2009;57(4):999–1005.
   Web of Science ®Google Scholar
• Kuhn S, Jennings W, Christ A, et al. Assessment of induced radio-frequency electromagnetic fields in various anatomical human body models. Phys Med Biol. Feb 21, 2009;54(4):875–890.
   PubMed Web of Science ®Google Scholar
• Chávez-Santiago R, Khaleghi A, Balasingham I. Matching layer for path loss reduction in ultra wideband implant communications. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. 2014; p. 6989–6992.
   Google Scholar
• Anzai D, Koya T, Wang J. Throughput evaluation on multilevel modulation with local frequency offset spatial diversity for 400 MHz band implant communications. IET Microw. 2017;11(5):593–599.
   Google Scholar
• Kurup D, et al. In-body path loss models for implants in heterogeneous human tissues using implantable slot dipole conformal flexible antennas. EURASIP J Wirel Commun Netw. 2011;2011(1):51.
   Google Scholar
• Lopez-Linares Roman K, Vermeeren G, Thielens A, et al. Characterization of path loss and absorption for a wireless radio frequency link between an in-body endoscopy capsule and a receiver outside the body. EURASIP J Wirel Commun Netw. 2014;2014(1):21.
   Google Scholar
• Kanaan M, Suveren M. A novel frequency-dependent path loss model for ultra wideband implant body area networks. Measurement. 2015;68:117–127.
   Web of Science ®Google Scholar
• Vermeeren G, Tanghe E, Thielens A, et al. In-to-out body path loss for wireless radio frequency capsule endoscopy in a human body. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Orlando, FL, USA, 2016. p. 3048–3051.
   Google Scholar
• Bosiljevac M, Sipus Z, Skrivervik AK. Propagation in finite lossy media: an application to WBAN. IEEE Antennas Wirel Propag Lett. 2015;14:1546–1549.
   Web of Science ®Google Scholar
• Reyhani SM, Ludwig SA. An implanted spherical head model exposed to electromagnetic fields at a mobile communication frequency. IEEE Trans Biomed Eng. 2006;53(10):2092–2101.
   PubMed Web of Science ®Google Scholar
• Weil CM. Absorption characteristics of multilayered sphere models exposed to UHF/Microwave radiation. in IEEE Trans Biomed Eng. 1975;22(6):468–476.
   PubMed Web of Science ®Google Scholar
• Christ A, Klingenbock A, Samaras T, et al. The dependence of electromagnetic far-field absorption on body tissue composition in the frequency range from 300 MHz to 6 GHz. IEEE Trans Microw Theory Tech. 2006;54(5):2188–2195.
   Web of Science ®Google Scholar
• Christ A, Samaras T, Klingenbock A, et al. Characterization of the electromagnetic near-field absorption in layered biological tissue in the frequency range from 30 MHz to 6,000 MHz. Phys Med Biol. 2006;51(19):4951–4965.
   PubMed Web of Science ®Google Scholar
• Anderson V, Croft R, McIntosh RL. SAR versus sinc: what is the appropriate RF exposure metric in the range 1–10 GHz? Part I: using planar body models. Bioelectromagnetics. 2010;31(6):454–466.
   PubMed Web of Science ®Google Scholar
• Kurup D, Vermeeren G, Tanghe E, et al. In-to-out body antenna-independent path loss model for multilayered tissues and heterogeneous medium. Sensors (Basel). 2015;15(1):408–421.
   Web of Science ®Google Scholar
• Chen ZY, Gao YM, Du M. Propagation characteristics of electromagnetic wave on multiple tissue interfaces in wireless deep implant communication. IET Microw. 2018;12(13):2034–2040.
   Google Scholar
• Gabriel S, Lau RW, Gabriel C. The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues. Phys Med Biol. 1996;41(11):2271–2293.
   PubMed Web of Science ®Google Scholar
• Orfanidis SJ. “Electromagnetic waves and antennas,” [Online]. Rutgers University, pp. 74–87, 2016. Available from: http://www.ece.rutgers.edu/~orfanidi/ewa.
   Google Scholar
• Wolfram Research. Inc. “Wolfram Language & System Documentation Center,” Illinois USA, 2017.
   Google Scholar
• COMSOL Multiphysics Inc. “RF module user’s guide,” Burlington, USA, 2016.
   Google Scholar
• Vodicka P, Smetana JK, Dvoránková B, et al. The miniature pig as an animal model in biomedical research. Ann N.Y. Acad Sci. 2005;1049:161–171.
   PubMed Web of Science ®Google Scholar
• Chen XG, Chen Z ZY, Gao YM, et al. Investigation on power loss of an out-to-in body wireless radio frequency link. Technology and Health Care. 2019;Pre-press(Pre-press):1–10.
   Google Scholar