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Fast EIT data acquisition system with active electrodes and its application to cardiac imaging

J H Li1, C Joppek, U Faust

  • 1Institut für Biomedizinishce Technik, Universität Stuttgart, Germany.

Physiological Measurement
|November 1, 1996
PubMed
Summary

A new high-speed data acquisition system enables dynamic electrical impedance tomography (EIT) imaging of the human thorax. This system successfully visualizes beat-by-beat cardiac activity and impedance changes during breath-holding.

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Electrical Engineering

Background:

  • Electrical Impedance Tomography (EIT) is a non-invasive imaging technique.
  • Dynamic imaging requires high-speed data acquisition systems.
  • Previous systems may have limitations in speed and electrode configuration.

Purpose of the Study:

  • To describe a wide-band high-speed data acquisition system for EIT.
  • To enable dynamic and multifrequency EIT (MFEIT) imaging of the human thorax.
  • To correlate reconstructed conductivity images with physiological activities like cardiac cycles.

Main Methods:

  • A 32-active-electrode system with separate receive and drive electrodes was developed.
  • Sequential current injection into adjacent electrode pairs and adjacent voltage measurements were performed.

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  • Operating frequencies ranged from 24 kHz to 400 kHz, with data acquisition per frame completed in 25 ms.
  • Electrocardiography (ECG) was recorded concurrently.
  • Main Results:

    • The system was successfully used to image conductivity distribution variations in the human thorax.
    • Beat-by-beat cardiac-related conductivity changes were visualized.
    • Quasi-periodic impedance variations corresponding to breathing (breath-holding) were observed in image sequences.

    Conclusions:

    • The developed high-speed EIT system is capable of dynamic imaging of thoracic conductivity.
    • The system can capture rapid physiological changes, including cardiac activity and respiration.
    • This technology holds potential for advanced medical diagnostics and monitoring.