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Subcutaneous Solar Energy Harvesting for Self-Powered Wireless Implantable Sensor Systems
Summary
This study demonstrates subcutaneous solar energy harvesting for implantable sensors. Flexible solar panels under porcine skin generate sufficient power (micro Watts to milli Watts) to operate a low-power sensor prototype, enabling self-powered in-vivo monitoring.
Area of Science:
- Biomedical Engineering
- Energy Harvesting
- Implantable Devices
Background:
- Implantable sensor systems require reliable power sources.
- Traditional power sources for implants have limitations like finite lifespan and replacement surgeries.
- Subcutaneous energy harvesting offers a promising alternative for long-term, self-powered implants.
Purpose of the Study:
- To investigate the feasibility of subcutaneous solar energy harvesting for implantable sensor systems.
- To characterize the performance of flexible solar panels beneath biological tissue.
- To develop and evaluate a low-power implantable sensor prototype powered by this harvesting method.
Main Methods:
- Flexible solar panels were tested under 3 mm thick porcine skin under various light conditions.
- Output power was measured across different ambient light intensities.
- A prototype implantable sensor with a power management circuit, temperature sensor, and Bluetooth low energy (BLE) module was designed and implemented.
Main Results:
- The solar panel's output power ranged from tens of micro Watts to a few milli Watts when covered by skin.
- The implantable prototype exhibited an average working current of 400 µA and a sleep current of 7 µA.
- Experimental results confirmed that the subcutaneous solar energy harvester could successfully power the implantable prototype using both sunlight and artificial light.
Conclusions:
- Subcutaneous solar energy harvesting is a viable method for powering implantable sensor systems.
- The developed system can sustain the operation of low-power implantable devices, reducing the need for invasive battery replacements.
- This technology paves the way for advanced, long-term in-vivo monitoring solutions.

