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SkinECG: An orthogonal remote powering wearable skin-like sensor.
Joanne Si Ying Tan1, Zhuoyue Li1,2, Sixing Xiong3
1Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Science Advances
|May 1, 2026
Summary
This study introduces SkinECG, a battery-free wearable sensor for long-term health monitoring. It uses body-coupled powering and an orthogonal energy harvesting network to overcome location-specific power limitations.
Area of Science:
- Biomedical Engineering
- Wearable Technology
- Energy Harvesting
Background:
- The proliferation of Internet of Things (IoT) wearable devices necessitates sustainable long-term power solutions.
- Existing power sources like batteries are finite, and energy harvesting methods face challenges with location-specific effectiveness.
Purpose of the Study:
- To develop a novel skin-like electrocardiogram (ECG) sensor system for long-term health monitoring.
- To address the limitations of conventional power sources in wearable devices through innovative remote powering.
Main Methods:
- Development of the SkinECG system, a flexible, thin sensor utilizing body-coupled powering (BCP).
- Implementation of a remote Orthogonal Energy Harvesting Network (O-EHN) to efficiently transfer power from multiple, location-optimized harvesters.
- Demonstration of the system's ability to acquire power without internode interference or cancellation.
Main Results:
- Successfully demonstrated a 0.71-mm-thin, flexible SkinECG sensor that conforms to the human chest.
- The system effectively detects ECG signals without requiring batteries or direct power connections.
- The BCP and O-EHN effectively solved the location mismatch issue for energy harvesting.
Conclusions:
- The SkinECG system offers a viable solution for battery-free, long-term wearable health monitoring.
- This technology overcomes key challenges in powering wearable sensors, enhancing their practicality and longevity.
- The developed system paves the way for more integrated and unobtrusive continuous health tracking.

