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A Low-Power Single-Path Bio-Impedance Measurement System Using an Analog-to-Digital Converter for I/Q Demodulation
IEEE Transactions on Biomedical Circuits and Systems
|October 12, 2022
Summary
A novel low-power bio-impedance system offers early detection of acute myocardial ischemia. This integrated circuit measures tissue impedance variations, aiding in diagnosing heart conditions with minimal power consumption.
Area of Science:
- Biomedical Engineering
- Electrical Engineering
- Cardiology
Background:
- Acute myocardial ischemia detection is crucial for timely intervention.
- Existing bio-impedance systems may face limitations in power consumption and integration.
- The need for efficient, low-power wearable or implantable diagnostic tools is growing.
Purpose of the Study:
- To present a low-power, single-path bio-impedance (Bio-Z) measurement system for early detection of acute myocardial ischemia.
- To demonstrate the system's capability to measure tissue impedance using in-phase and quadrature (I/Q) components.
- To achieve significant power and silicon area reduction through integrated analog-to-digital converter (ADC) functionality.
Main Methods:
- Developed a fully integrated system including a current source, amplifier, and ADC.
- Utilized the ADC to separate I/Q components for real and imaginary impedance parts.
- Employed a capacitively-coupled instrumentation amplifier for low power, low noise, and high linearity.
- Implemented the circuit in 0.18 µm CMOS technology with a 1 V power supply.
Main Results:
- The system measures input impedance in the range of 0.03-7.5 kΩ with a resolution of 0.766 Ωrms.
- Achieved ultra-low power consumption of 2 µW.
- Demonstrated successful recording of impedance variations related to respiration and heartbeat.
Conclusions:
- The proposed low-power Bio-Z system is effective for early detection of acute myocardial ischemia.
- The integrated design offers reduced power and area, suitable for portable or implantable applications.
- The system's ability to capture physiological impedance changes highlights its potential in continuous health monitoring.
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