Simulation-based Models of the Galvanic Coupling Intra-body Communication

Ahmed D, Fischer G, Kirchner J (2019)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Event location: Sophia Antipolis, France

Abstract

Human body communication (HBC) uses the human body as a transmission medium for electrical signal at very low power consumption. In this paper, we provided two simulationbased arm models. In the first model, we studied the effect of introducing different types and thicknesses of tissues in the path of signal transmission on the detected signal. In the second model, we introduced different bending angles to the model and examined its effect on the detected signal. The results showed that the signal attenuates very rapidly in the skin tissue, although it has the lowest conductivity. On the other hand, no signal decay is noticed in the fat tissue. Despite the highest attenuation constant of the muscle tissue, adding it the model improves the detected signal at receiver. Increasing the thickness of the muscle layer reduces the electric potential difference at transmitter, while improves the detected signal at receiver. For the bended model, we found that the bending helps to improve the received signal at small angles because the signal takes the shortest path from transmitter to receiver. For larger angles, the discrepancy between this short path and main transmission length will be reduced until they are equal at angle 180°.

Authors with CRIS profile

Doaa Ahmed Lehrstuhl für Technische Elektronik Georg Fischer Professur für Technische Elektronik Jens Kirchner Lehrstuhl für Technische Elektronik

How to cite

APA:

Ahmed, D., Fischer, G., & Kirchner, J. (2019). Simulation-based Models of the Galvanic Coupling Intra-body Communication. In Proceedings of the 2019 IEEE Sensors Applications Symposium. Sophia Antipolis, France, FR.

MLA:

Ahmed, Doaa, Georg Fischer, and Jens Kirchner. "Simulation-based Models of the Galvanic Coupling Intra-body Communication." Proceedings of the 2019 IEEE Sensors Applications Symposium, Sophia Antipolis, France 2019.

BibTeX: Download