Wave Propagation with Human Body Communications in BANs

Conference contribution
(Conference Contribution)

Publication Details

Author(s): Ahmed DMA, Kirchner J, Fischer G
Publication year: 2017
Pages range: 16-18
ISBN: 978-1-5090-4837-3
Language: English


Today's interest in health assistance systems, sport activities and remote patient monitoring require distributing various types of sensors at specific places across the human body. These sensors might be used to measure temperature, blood pressure level, blood glucose level and the like. This implies collecting the data generated at the distributed sensors in a wireless Body Area Network (BAN) and fusing these data at a central processing unit, which transfers the data, if needed, to a hospital or medical center for diagnosing. Whereas, transmission could be done for real time or stored data depending on the application scenario. However, sending data wirelessly is typically a very energy intensive task implying large batteries. Hence, BAN networks have been developed by IEEE 802.15.Task Group (TG6) to serve a variety of applications including medical, consumer lifestyle and entertainment applications at low power consumption. Human Body Communication is a non-RF propagation system in BAN network that utilizes the human body as a transmission medium to transfer data between several points inside, on or sometimes near the human body using electrodes, rather than antennas based on near field communication and quasistatic field approximations.

FAU Authors / FAU Editors

Ahmed, Doaa
Lehrstuhl für Technische Elektronik
Fischer, Georg Prof. Dr.-Ing.
Professur für Technische Elektronik
Kirchner, Jens Dr.
Lehrstuhl für Theoretische Philosophie

How to cite

Ahmed, D.M.A., Kirchner, J., & Fischer, G. (2017). Wave Propagation with Human Body Communications in BANs. (pp. 16-18). Sevilla, ES.

Ahmed, Doaa Mahmoud Ahmed, Jens Kirchner, and Georg Fischer. "Wave Propagation with Human Body Communications in BANs." Proceedings of the 2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO), Sevilla 2017. 16-18.


Last updated on 2018-19-10 at 06:10