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A Batteryless Sensor ASIC for Implantable Bio-Impedance Applications.
IEEE Transactions on Biomedical Circuits and Systems
|September 16, 2015
Summary
This study introduces a miniature, battery-free implantable bio-impedance sensor ASIC for accurate electrical impedance measurements of biological tissues. This advancement enables precise wireless monitoring for diverse medical applications.
Area of Science:
- Biomedical Engineering
- Electrical Engineering
- Materials Science
Background:
- Electrical impedance of biological tissues is crucial for medical diagnosis and monitoring.
- Measuring bio-impedance, especially in subcutaneous tissues, presents significant technical challenges.
- Existing methods often lack the miniaturization and power efficiency required for long-term implantation.
Purpose of the Study:
- To develop a miniaturized, battery-free Application-Specific Integrated Circuit (ASIC) for bio-impedance sensing.
- To enable accurate, in-situ complex impedance measurements of biological tissues.
- To facilitate wireless data transmission and power supply for implantable devices.
Main Methods:
- Designed and fabricated a 150 nm CMOS ASIC for 4-point complex impedance extraction.
- Operated the ASIC in the frequency range of 2 kHz to 2 MHz.
- Integrated the ASIC into a prototype powered and communicated with via inductive coupling.
- Validated the prototype using discrete components, physiological solutions, and ex vivo animal organs.
Main Results:
- Achieved accurate complex impedance extraction with approximately 1 Ω resolution.
- The ASIC measures 1.22 mm × 1.22 mm and consumes 165 μA at 1.8 V.
- Demonstrated successful ex vivo measurements, validating the sensor's performance.
- Enabled wireless, accurate tissue impedance measurements through the external reader.
Conclusions:
- The developed bio-impedance sensor ASIC is suitable for miniature, battery-free, implantable devices.
- The technology enables accurate wireless bio-impedance measurements for medical applications.
- This work addresses key challenges in in-vivo tissue impedance sensing.

