Equation Environment Coupling and Interference on the Electric-Field Intrabody Communication Channel

Wearableand implantable medical sensors have been investigated continuously in recent years to provide better diagnostics and monitoring for personal health care. Much attention has been drawn to the establishment of the ubiquitous body area network (BAN) to reliably connect the body sensors and collect the sensor data in real time. Electric-held intrabody communication (EF-IBC) is a promising physical link technology for the body area network. Compared to existing wireless technologies, EF-IBC hts the body characteristics better and is able to achieve higher data rate with less transmission power. EF-IBC relies on the parasitic capacitive coupling between the transmitter and the receiver to close the signal circuit loop. With this parasitic coupling, EF-IBC links can be influenced by the environment. However until now, there is lack of systematic research on various environment coupling effects to the EF-IBC channel. In this paper, environment effects on the EF-IBC channel are comprehensively studied. The interference from the nearby EF-IBC channel is investigated for the first time to gain useful insights into the establishment of the BAN with EF-IBC. The FEM model is also established to explain the mechanism of the capacitive return path.

[1]  Su-Lin Lee,et al.  A Simulation Environment for Subject-Specific Radio Channel Modeling in Wireless Body Sensor Networks , 2009, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks.

[2]  Kyung Sup Kwak,et al.  An overview of IEEE 802.15.6 standard , 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).

[3]  R. W. Lau,et al.  The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues. , 1996, Physics in medicine and biology.

[4]  Hoi-Jun Yoo,et al.  A 60 kb/s–10 Mb/s Adaptive Frequency Hopping Transceiver for Interference-Resilient Body Channel Communication , 2009, IEEE Journal of Solid-State Circuits.

[5]  Yue Ping Zhang,et al.  Performance of UWB Impulse Radio With Planar Monopoles Over On-Human-Body Propagation Channel for Wireless Body Area Networks , 2007, IEEE Transactions on Antennas and Propagation.

[6]  Peter Wu.  The perspective of biomedical electronics , 2010, 2010 IEEE Sensors.

[7]  Hoi-Jun Yoo,et al.  A 10.8 mW Body Channel Communication/MICS Dual-Band Transceiver for a Unified Body Sensor Network Controller , 2009, IEEE Journal of Solid-State Circuits.

[8]  George Jie Yuan,et al.  Electric-Field Intrabody Communication Channel Modeling With Finite-Element Method , 2011, IEEE Transactions on Biomedical Engineering.

[9]  Ivan Grech,et al.  Body area network for wireless patient monitoring , 2008, IET Commun..

[10]  H. Nishiyama,et al.  Form and capacitance of parallel-plate capacitors , 1994 .

[11]  A. Ahlbom.  Guidelines for limiting exposure to time-varying electric, magnetic, and electromagnetic fields (up to 300 GHz) , 1998 .

[12]  Hoi-Jun Yoo,et al.  The Human Body Characteristics as a Signal Transmission Medium for Intrabody Communication , 2007, IEEE Transactions on Microwave Theory and Techniques.

[13]  Clive Parini,et al.  Investigation of on-body Bluetooth transmission , 2010 .

[14]  Yu Xie,et al.  Preliminary study of rain effect on channel gain of body area communication , 2009, 2009 Joint Conferences on Pervasive Computing (JCPC).

[15]  Ruoyu Xu,et al.  Circuit-coupled FEM analysis of the electric-field type intra-body communication channel , 2009, 2009 IEEE Biomedical Circuits and Systems Conference.