Abstract
In this paper, we investigate the sensitivity of the galvanic coupling Intra-Body Communication (IBC) channel to the variation of the basic parameters - being them electrical, geometrical or biological - of the main blocks of the IBC system; the transmitter and receiver nodes, the electrodes used, and the communication channel itself being the human body in this case. The study is performed over the frequency range 100 kHz–100 MHz, providing the system designer with a unique guide for the relationship between the system parameters, thus facilitating the design of an efficient and better matched system components.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zimmerman, T.G.: Personal area networks: near-field intrabody communication. IBM Syst. J. 35(3.4), 609–617 (1996)
Handa, T., Shoji, S., Ike, S., Takeda, S., Sekiguchi, T.: A very low-power consumption wireless ECG monitoring system using body as a signal transmission medium. In: Proceedings of International Solid State Sensors and Actuators Conference (Transducers’ 97), vol. 2, pp. 1003–1006. IEEE, June 1997
Ruiz, J.A., Xu, J., Shimamoto, S.: Propagation characteristics of intra-body communications for body area networks. In: 2006 3rd IEEE Consumer Communications and Networking Conference 2006, CCNC 2006, vol. 1, pp. 509–513. IEEE, January 2006
Khorshid, A.E., Eltawil, A.M., Kurdahi, F.: Intra-body communication model based on variable biological parameters. In: 2015 49th Asilomar Conference on Signals, Systems and Computers, pp. 948–951. IEEE, November 2015
Alquaydheb, I.N., Khorshid, A.E., Eltawil, A.M.: Analysis and estimation of intra-body communications path loss for galvanic coupling. In: Fortino, G., Wang, Z. (eds.) Advances in Body Area Networks I. IT, pp. 267–277. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-02819-0_20
Song, Y., Hao, Q., Zhang, K., Wang, M., Chu, Y., Kang, B.: The simulation method of the galvanic coupling intrabody communication with different signal transmission paths. IEEE Trans. Instrum. Meas. 60(4), 1257–1266 (2011)
Khorshid, A.E., Eltawil, A.M., Kurdahi, F.: On the optimum data carrier for intra-body communication applications. In: Proceedings of the 11th EAI International Conference on Body Area Networks, pp. 137–140. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), December 2016
Gabriel, S., Lau, R.W., Gabriel, C.: The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. Phys. Med. Biol. 41(11), 2251 (1996)
Khorshid, A.E., Alquaydheb, I.N., Eltawil, A.M., Kurdahi, F.J.: Physical multi-layer phantoms for intra-body communications. IEEE Access 6, 42812–42821 (2018)
Mao, J., Yang, H., Lian, Y., Zhao, B.: A five-tissue-layer human body communication circuit model tunable to individual characteristics. IEEE Trans. Biomed. Circ. Syst. 12(2), 303–312 (2018)
Khorshid, A.E., Alquaydheb, I.N., Eltawil, A.M.: Electrode impedance modeling for channel characterization for intra-body communication. In: Fortino, G., Wang, Z. (eds.) Advances in Body Area Networks I. IT, pp. 253–266. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-02819-0_19
Kanai, H., Chatterjee, I., Gandhi, O.P.: Human body impedance for electromagnetic hazard analysis in the VLF to MF band. IEEE Trans. Microw. Theory Tech. 32(8), 763–772 (1984)
Acknowledgments
The authors gratefully acknowledge that this work was supported in part by the National Institute of Justice (NIJ) grant number 2016-R2-CX-0014.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Khorshid, A.E., Alquaydheb, I.N., Eltawil, A.M., Kurdahi, F. (2019). Sensitivity of Galvanic Intra-Body Communication Channel to System Parameters. In: Mucchi, L., Hämäläinen, M., Jayousi, S., Morosi, S. (eds) Body Area Networks: Smart IoT and Big Data for Intelligent Health Management. BODYNETS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 297. Springer, Cham. https://doi.org/10.1007/978-3-030-34833-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-34833-5_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-34832-8
Online ISBN: 978-3-030-34833-5
eBook Packages: Computer ScienceComputer Science (R0)