Bioelectronic Sensor Nodes for Internet of Bodies
Baibhab Chatterjee, Pedram Mohseni, Shreyas Sen

TL;DR
This paper reviews the challenges and opportunities in designing energy-efficient, secure bio-sensor nodes for the Internet of Bodies, focusing on sensing, communication, and power harvesting techniques to enable continuous health monitoring.
Contribution
It provides a comprehensive analysis and comparison of sensing mechanisms, communication modalities, and powering techniques for low-power, secure bio-sensors in IoB applications.
Findings
Comparison of voltage/current vs time-domain sensing
Evaluation of wireless and human-body communication methods
Analysis of energy harvesting techniques for wearable and implantable devices
Abstract
Energy-efficient sensing with Physically-secure communication for bio-sensors on, around and within the Human Body is a major area of research today for development of low-cost healthcare, enabling continuous monitoring and/or secure, perpetual operation. These devices, when used as a network of nodes form the Internet of Bodies (IoB), which poses certain challenges including stringent resource constraints (power/area/computation/memory), simultaneous sensing and communication, and security vulnerabilities as evidenced by the DHS and FDA advisories. One other major challenge is to find an efficient on-body energy harvesting method to support the sensing, communication, and security sub-modules. Due to the limitations in the harvested amount of energy, we require reduction of energy consumed per unit information, making the use of in-sensor analytics/processing imperative. In this paper,…
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 · Energy Harvesting in Wireless Networks · Molecular Communication and Nanonetworks
