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Updated: Jun 29, 2026

High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources
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High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources

Published on: November 26, 2016

FPGA design and implementation for EIT data acquisition.

Xicai Yue1, Chris McLeod

  • 1Department of Bioengineering, Imperial College London, London SW7 2AZ, UK.

Physiological Measurement
|October 2, 2008
PubMed
Summary

A new FPGA-based wireless Electrical Impedance Tomography (EIT) data acquisition system (DAS) offers compact, bedside monitoring for intensive care units. This system enables continuous respiration monitoring for patients with respiratory distress and chronic heart failure (CHF).

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Critical Care Medicine

Background:

  • Intensive care units (ICUs) require advanced monitoring for patients with respiratory distress and chronic heart failure (CHF).
  • Thoracic imaging in ICUs faces challenges in real-time data acquisition and system adaptability.
  • Existing Electrical Impedance Tomography (EIT) systems may lack the compactness and programmability needed for bedside ICU use.

Purpose of the Study:

  • To present the OXBACT-5, a novel FPGA-based wireless EIT data acquisition system (DAS).
  • To design a compact and reconfigurable EIT system for thoracic imaging in intensive care settings.
  • To enable continuous respiration monitoring for critically ill patients.

Main Methods:

  • Development of a Field-Programmable Gate Array (FPGA)-based wireless LAN linked multi-channel EIT DAS.

Related Experiment Videos

Last Updated: Jun 29, 2026

High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources
12:39

High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources

Published on: November 26, 2016

  • Integration of 16 programmable excitation current channels and 64 voltage measurement channels.
  • Implementation of programmable parameters (frequency, patterns, sequence, gain) and digital demodulation within the FPGA for reduced data rates and enhanced control.

    • Main Results:

    • The OXBACT-5 system is compact and suitable for bedside use in ICUs.
    • The system supports fully programmable and reconfigurable EIT data acquisition from a host PC.
    • Continuous respiration monitoring at 25 frames per second is achievable, with image reconstruction times dependent on algorithm choice.

    Conclusions:

    • The FPGA-based EIT DAS (OXBACT-5) provides a flexible and compact solution for thoracic imaging in critical care.
    • The system's programmability and real-time data acquisition capabilities are advantageous for monitoring patients with respiratory distress and CHF.
    • This technology has the potential to improve patient management in intensive care environments through continuous respiratory assessment.