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A Novel Intracranial Pressure Readout Circuit for Passive Wireless LC Sensor
IEEE Transactions on Biomedical Circuits and Systems
|August 16, 2017
Summary
We developed a low-cost, wireless system for monitoring intracranial pressure using an implantable passive sensor. This novel system offers accurate, real-time pressure readings for medical applications.
Area of Science:
- Biomedical Engineering
- Medical Devices
- Wireless Sensing Technology
Background:
- Intracranial pressure (ICP) monitoring is crucial for diagnosing and managing neurological conditions.
- Existing ICP monitoring methods often involve invasive procedures or costly equipment.
- There is a need for accessible, wireless, and reliable ICP monitoring solutions.
Purpose of the Study:
- To develop and evaluate a low-cost, wireless system for intracranial pressure monitoring.
- To demonstrate the feasibility of using a passive implantable sensor with an external reader.
- To achieve accurate and real-time ICP measurements for clinical use.
Main Methods:
- Designed an implantable passive sensor with spiral coils to detect pressure-induced resonant frequency shifts.
- Developed a novel high-frequency circuit topology for an external reader to track impedance and phase changes.
- Utilized a wide frequency range (35 MHz-2.7 GHz) for wireless data acquisition.
- Validated the system's performance through prototype development and measurements.
Main Results:
- The wireless ICP monitoring system achieved a measurement distance greater than 2 cm.
- Demonstrated a sufficient sampling frequency exceeding 6 Hz for medical practice.
- Reported a high responsivity of 0.92 MHz/mmHg and a fine resolution of 0.028 mmHg.
- COMSOL simulations confirmed the system's safety regarding specific absorption rate.
Conclusions:
- The developed low-cost, wireless ICP monitoring system is a promising solution for medical applications.
- The novel circuit topology and passive sensor design enable reliable and accurate pressure measurements.
- Further improvements in antenna design, power radiation, ADC, and signal processing can enhance device performance.
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