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Mesh Analysis for AC Circuits

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In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
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Scalable Solution-processed Fabrication Strategy for High-performance, Flexible, Transparent Electrodes with Embedded Metal Mesh

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A resistive mesh phantom for assessing the performance of EIT systems.

Hervé Gagnon¹, Martin Cousineau, Andy Adler

¹Institut de Génie Biomédical, Ecole Polytechnique de Montréal, Montréal, QC H3C3A7, Canada. gagnon@igb.polymtl.ca

IEEE Transactions on Bio-Medical Engineering

|June 17, 2010

Summary

A novel resistive mesh phantom with Ag/AgCl electrode models assesses electrical impedance tomography (EIT) system performance, mimicking in vivo conditions. It quantifies signal-to-noise ratio (SNR), accuracy, and modeling accuracy, crucial for EIT system validation.

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Area of Science:

Biomedical Engineering
Electrical Engineering
Medical Imaging

Background:

Electrical Impedance Tomography (EIT) system performance assessment typically relies on phantoms for validation and calibration.
Existing phantoms may not fully replicate in vivo conditions, particularly cabling stray effects.

Purpose of the Study:

To introduce a novel resistive mesh phantom designed to evaluate EIT system performance.
To incorporate realistic modeling of Ag/AgCl electrode impedances and account for cabling stray effects.

Main Methods:

Construction of a 2-D circular homogeneous phantom using 340 precision resistors on a PCB.
Integration of equivalent electrical models for Ag/AgCl electrode impedances, fitted using impedance analyzer data.
Development and application of three performance indicators: Signal-to-Noise Ratio (SNR), accuracy, and modeling accuracy.

Main Results:

The phantom successfully assesses EIT system performance, including SNR, accuracy, and modeling accuracy.
Performance indicators were evaluated under varying frame rates and applied current intensities.
Demonstrated dependency of performance indicators on frame rate, operating frequency, current intensity, measurement strategy, and intermodulation distortion.

Conclusions:

The described phantom provides a versatile tool for EIT system performance assessment, adaptable to various shapes and conductivity distributions.
Accurate reporting of EIT performance indicators necessitates specifying parameters like frame rate, frequency, and current intensity.
This phantom facilitates more reliable validation and comparison of EIT systems in research and clinical settings.