Implant-to-Wearable Communication through the Human Body: Exploring the Effects of Encapsulated Capacitive and Galvanic Transmitters
Anyu Jiang, Cassandra Acebal, Brook Heyd, Trustin White, Gurleen, Kainth, Arunashish Datta, Shreyas Sen, Adam Khalifa, Baibhab Chatterjee

TL;DR
This study compares encapsulated capacitive and galvanic transmitters for implant-to-wearable human-body communication, demonstrating that galvanic transmitters are more efficient, with in-vivo tests confirming significant signal loss with capacitive encapsulation.
Contribution
The paper provides a comprehensive analysis and experimental validation of implant-to-wearable communication, highlighting the superiority of galvanic transmitters over capacitive ones in this context.
Findings
Galvanic transmitters are more efficient than capacitive ones for implant-to-wearable communication.
Encapsulation thickness significantly affects signal levels, with capacitive transmitters losing over 20 dB per mm.
In-vivo experiments on rats validate the circuit and FEM simulation results.
Abstract
Data transfer using human-body communication (HBC) represents an actively explored alternative solution to address the challenges related to energy-efficiency, tissue absorption, and security of conventional wireless. Although the use of HBC for wearable-to-wearable communication has been well-explored, different configurations for the transmitter (Tx) and receiver (Rx) for implant-to-wearable HBC needs further studies. This paper substantiates the hypothesis that a fully implanted galvanic Tx is more efficient than a capacitive Tx for interaction with a wearable Rx. Given the practical limitations of implanting an ideal capacitive device, we choose a galvanic device with one electrode encapsulated to model the capacitive scenario. We analyze the lumped circuit model for in-body to out-of-body communication, and perform Circuit-based as well as Finite Element Method (FEM) simulations to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Body Area Networks · Molecular Communication and Nanonetworks
