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Bioelectronic Sensor Nodes for the Internet of Bodies
Baibhab Chatterjee1,2, Pedram Mohseni3, Shreyas Sen1
1Elmore Family School of Electrical and Computer Engineering and Center for Internet of Bodies (C-IoB), Purdue University, West Lafayette, Indiana, USA;
Annual Review of Biomedical Engineering
|March 13, 2023
Summary
Developing energy-efficient biosensors for the Internet of Bodies requires low-power sensing, secure communication, and effective energy harvesting. In-sensor processing is crucial to minimize energy consumption for continuous health monitoring.
Area of Science:
- Biomedical Engineering
- Wearable Technology
- Internet of Bodies
Background:
- Biosensors for continuous health monitoring face challenges in energy efficiency and security.
- The Internet of Bodies (IoB) network of biosensors presents resource constraints and security vulnerabilities.
- Efficient on-body energy harvesting is critical for powering IoB devices.
Purpose of the Study:
- To review challenges and opportunities in low-power sensing, processing, and communication for biosensor nodes.
- To analyze and compare different sensing mechanisms, communication modalities, and powering techniques for IoB.
- To highlight the importance of in-sensor analytics for reducing energy consumption.
Main Methods:
- Comparative analysis of voltage/current domain versus time domain sensing mechanisms.
- Review of low-power, secure communication techniques including wireless and human body communication.
- Evaluation of various powering techniques for wearable and implantable biosensor devices.
Main Results:
- Identified trade-offs between different sensing and communication modalities.
- Assessed the feasibility of various energy harvesting methods for IoB applications.
- Emphasized the necessity of in-sensor processing for energy efficiency.
Conclusions:
- Low-power sensing, secure communication, and efficient energy harvesting are key for future biosensor nodes.
- In-sensor analytics are imperative to reduce energy consumption per unit of information.
- Addressing these challenges will enable robust and sustainable Internet of Bodies applications.

