Analysis of Unintentional Signal Propagation in Intra-Body Communication

This paper describes an analysis of unintentional signal propagation in intra-body communication (IBC). IBC might suffer from such unintentional signal, which are caused by both a return path and a normal path. We propose an unintentional signal propagation model based on both of these paths. In this work, we analyze the unintentional signal through experiments and simulations. The signal strength characteristics, as found from the simulation results, were similar to those of the experimental results. Our model is, therefore, confirmed to be adequate. The unintentional signal through the return path is found to be greater than that of the normal path. The design criteria for IBC application are also indicated that may address the unintentional signal problem.

[1]  Ke Wu,et al.  Signal propagation analysis for near-field intra-body communication systems , 2013, 2013 Proceedings of the International Symposium on Antennas & Propagation.

[2]  Mitsuru Shinagawa,et al.  Dynamic interference estimation in secure gate system using intra-body communication , 2016, 2016 IEEE Region 10 Conference (TENCON).

[3]  M. Shinagawa,et al.  A near-field-sensing transceiver for intra-body communication based on the electro-optic effect , 2003, Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412).

[4]  Seung Eun Lee,et al.  Secure communication system for wearable devices wireless intra body communication , 2015, 2015 IEEE International Conference on Consumer Electronics (ICCE).

[5]  Hitoshi Shimasaki,et al.  Signal Propagation Analysis for Near-Field Intra-Body Communication Systems , 2013 .

[6]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[7]  Hakaru Kyuragi,et al.  A near-field-sensing transceiver for intrabody communication based on the electrooptic effect , 2004, IEEE Transactions on Instrumentation and Measurement.

[8]  Nozomi Haga,et al.  Dynamic characteristics of intrabody communication channels , 2016, 2016 International Symposium on Antennas and Propagation (ISAP).

[9]  Mitsuru Shinagawa,et al.  Signal-propagation analysis for two-person intra-body communication services , 2017, TENCON 2017 - 2017 IEEE Region 10 Conference.

[10]  M. Weiser.  The Computer for the Twenty-First Century , 1991 .

[11]  Chanakya Kumar,et al.  Intrabody communication for human area network application , 2014, International Conference for Convergence for Technology-2014.

[12]  Michael Faulkner,et al.  A Survey on Intrabody Communications for Body Area Network Applications , 2013, IEEE Transactions on Biomedical Engineering.

[13]  Thomas G. Zimmerman,et al.  : Near-field , 2022 .

[14]  M. Shinagawa,et al.  Interference problem of fixed transmitter during intra-body communication , 2016, 2016 IEEE Region 10 Conference (TENCON).

[15]  Hitoshi Shimasaki,et al.  Human-area networking technology based on near-field coupling transceiver , 2012, 2012 IEEE Radio and Wireless Symposium.

[16]  Masaki Ishida,et al.  Propagation characteristics of MHz-band RF signals for intra-body communication , 2013, 2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO).

[17]  M. Shinagawa,et al.  Signal analysis for touch application using intra-body communication , 2017, TENCON 2017 - 2017 IEEE Region 10 Conference.