Radiated noise analysis via human body for intra-body communication

Abstract The transmission path of intra-body communication is composed of capacitance coupling among nodes. Therefore, a channel model of the communication is expressed by capacitive ambient elements. Such a communication is greatly affected by external noise because the balance of the transmission path deteriorates due to environmental factors. There is a serious problem in that radiated noise via the human body emitted from an electric light or peripheral electronic equipment is likely to be transmitted along the same path as a signal by capacitance coupling. We investigated a channel model and estimated radiated noise via the human body based on experiments and circuit simulation. The validity of the channel model was clarified from noise measurement. When an additional electrode was connected to a ground electrode in a measurement system for a practical scene, the noise reduction rating was 5.11 dB. However, actually, reducing the noise is difficult. Therefore, reducing the noise source in such a communication is necessary.

[1]  H. Morimura,et al.  Signal-to-Noise Ratio Analysis of a Noisy-Channel Model for a Capacitively Coupled Personal Area Network , 2013, IEEE Transactions on Antennas and Propagation.

[2]  Imrich Chlamtac,et al.  Internet of things: Vision, applications and research challenges , 2012, Ad Hoc Networks.

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

[4]  Nozomi Haga,et al.  Noise Measurement via Human Body for intra-body communication , 2015, BODYNETS.

[5]  Osamu Fujiwara,et al.  A simple method for predicting common-mode radiation from a cable attached to a conducting enclosure , 2001, APMC 2001. 2001 Asia-Pacific Microwave Conference (Cat. No.01TH8577).

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

[7]  Yuichi Kado,et al.  Signal measurement system for intra-body communication using optical isolation method , 2014 .

[8]  Yuichi Kado,et al.  Noise analysis for intra-body communication based on parasitic capacitance measurement , 2014 .

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

[10]  Mitsuru Shinagawa,et al.  AC Electric Field Communication for Human-Area Networking , 2010, IEICE Trans. Electron..

[11]  Nozomi Haga,et al.  Capacitance Model of Embedded Transciever for Intra-body Communication , 2014, BODYNETS.

[12]  Masao Taki,et al.  Induced Voltage to an Active Implantable Medical Device by a Near-Field Intra-Body Communication Device , 2011, IEICE Trans. Commun..

[13]  R. Redl.  Electromagnetic environmental impact of power electronics equipment , 2001 .

[14]  Clayton R. Paul.  A comparison of the contributions of common-mode and differential-mode currents in radiated emissions , 1989 .

[15]  Koosuke Harada,et al.  Common-Mode Noise Generation in a DC-to-DC Converter , 1980, IEEE Transactions on Aerospace and Electronic Systems.

[16]  Javier Reina-Tosina,et al.  Study of Attenuation and Dispersion Through the Skin in Intrabody Communications Systems , 2012, IEEE Transactions on Information Technology in Biomedicine.

[17]  Figen Balo,et al.  Internet of Things: A Survey , 2016 .

[18]  Hyung-Jin Choi,et al.  Enhanced Common-Mode Noise Rejection Method Based on Impedance Mismatching Compensation for Wireless Capsule Endoscopy Systems , 2015 .

[19]  F. C. Lee,et al.  Separation of the common-mode- and differential-mode-conducted EMI noise , 1996 .

[20]  Kenji Shiba,et al.  Development of wearable intra-body communication devices , 2003 .

[21]  Kuniyuki Motojima,et al.  Received noise voltage of wearable transceiver in the presence of fluorescent lamps using high-frequency electronic ballasts , 2014, IEICE Electron. Express.

[22]  Athanasios V. Vasilakos,et al.  Body Area Networks: A Survey , 2010, Mob. Networks Appl..

[23]  Jianqing Wang,et al.  Detection of human arm approaching direction based on electrostatic coupling in human body communication , 2012, IEICE Electron. Express.

[24]  Tomoyuki Yambe,et al.  A new transcutaneous bidirectional communication for monitoring implanted artificial heart using the human body as a conductive medium. , 2012, Artificial organs.