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Published on: April 13, 2016
Eight-channel high-speed electrical impedance tomography device implemented on a programmable system on a chip
Fausto Andrés Escobar1, Carlos Felipe Rengifo2, Víctor Hugo Mosquera2
1Universidad Mariana, Street 18 No. 34-104, Pasto, Nariño, Colombia.
This study introduces an Electrical Impedance Tomography (EIT) device using a Programmable System on a Chip (PSoC). The EIT-PSoC system effectively monitors biological fluid volume and conductivity changes.
Area of Science:
- Biomedical Engineering
- Electrical Engineering
- Medical Imaging
Background:
- Electrical Impedance Tomography (EIT) is a non-invasive imaging technique.
- Monitoring biological fluid volume and conductivity is crucial for diagnostics.
- Existing EIT systems may have limitations in portability and cost.
Purpose of the Study:
- To develop and evaluate a novel EIT device utilizing a Programmable System on a Chip (PSoC).
- To assess the performance of the EIT-PSoC system in terms of frame frequency, accuracy, and signal-to-noise ratio.
- To validate the system's capability in detecting impedance variations in biological fluid phantoms.
Main Methods:
- Implementation of an EIT system using two PSoC 5LP platforms.
- Characterization using a resistive phantom to measure frame frequency (fps), accuracy (Ac), and signal-to-noise ratio (SNR).
- Evaluation with saline and agar phantoms to assess impedance distribution changes and biological fluid emulation.
Main Results:
- Achieved a frame frequency of 100 fps, median SNR of 63.59 dB, and 95.39% accuracy with a 50 kHz sinusoidal current.
- Successfully distinguished impedance changes in saline phantoms through EIT image reconstruction.
- Demonstrated detection of volume and conductivity variations using agar phantoms and the global impedance (GI) index.
Conclusions:
- The EIT-PSoC system offers a promising, high-performance solution for impedance imaging.
- The developed system accurately detects changes in fluid volume and conductivity.
- This PSoC-based EIT device presents a viable alternative for biological fluid monitoring applications.
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