Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Development of a real-time adaptive current tomograph

Q S Zhu1, C N McLeod, C W Denyer

  • 1EIT Research Group, School of Engineering, Oxford Brookes University, Headington, UK.

Physiological Measurement
|May 1, 1994
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Non-invasive and high-precision identification of gastric precancerous lesions based on SERS and machine learning].

Zhonghua zhong liu za zhi [Chinese journal of oncology]·2026
Same author

[Revision rate of periprosthetic joint infection post total hip or knee arthroplasty of 34 hospitals in China between 2015 and 2017: a multi-center survey].

Zhonghua yi xue za zhi·2023
Same author

miR-497 inhibits tumor growth and migration of osteosarcoma by targeting plexinA4 and CDK6.

Neoplasma·2020
Same author

[Risk factors and preventions for postoperative kyphotic changes in cervical posterior decompression surgery].

Zhonghua yi xue za zhi·2019
Same author

Theoretical investigation on the optical and EPR spectra for Cu<sup>2+</sup> -doped ZnO-CdS nanocomposites.

Magnetic resonance in chemistry : MRC·2018
Same author

Determination of InN/Diamond Heterojunction Band Offset by X-ray Photoelectron Spectroscopy.

Nanoscale research letters·2016
Same journal

Continuous tracking of aortic aneurysm diameter with peripheral pulse waves: a computational framework combining sequential Markov chain Monte Carlo with Kalman filtering.

Physiological measurement·2026
Same journal

The 2026 global roadmap for textile-integrated wearable technologies in health.

Physiological measurement·2026
Same journal

Augmenting single-lead ECG interpretation through QRS waveform decomposition and rotation.

Physiological measurement·2026
Same journal

Dynamic Beat-to-Beat Blood Pressure Estimation using a Multi-modal Wearable Deep Learning Approach.

Physiological measurement·2026
Same journal

Dual warm-start fusion versus attention-based fusion in low-label ECG-PCG classification: a controlled ablation study.

Physiological measurement·2026
Same journal

Inter-patient multi-label ECG classification via low-rank adaptation fine-tuned large language models with dynamic graph convolutional network.

Physiological measurement·2026
See all related articles

Researchers are developing the Oxford Brookes Adaptive Current Tomograph Mark-III (OXBACT-III) for real-time electrical impedance tomography (EIT) clinical studies. This adaptive system aims for high-speed data acquisition while ensuring accuracy for clinical applications.

Area of Science:

  • Biomedical Engineering
  • Medical Imaging Technology
  • Electrical Engineering

Background:

  • The Oxford PACT-II system, a multiple-drive electrical impedance tomography (EIT) system, was successfully developed for in vitro studies using a voltage-driven current method.
  • Current research focuses on advancing EIT technology for clinical applications.

Purpose of the Study:

  • To develop a real-time multiple-drive adaptive electrical impedance tomography system, the Oxford Brookes Adaptive Current Tomograph Mark-III (OXBACT-III).
  • To enable clinical studies using the adaptive current method in EIT.
  • To achieve high data acquisition speed and maintain system accuracy in the new EIT system design.

Main Methods:

  • Development of a novel multiple-drive adaptive EIT system (OXBACT-III).

Related Experiment Videos

  • Operation at multiple frequencies ranging from 10-160 kHz.
  • Focus on optimizing data acquisition speed and system accuracy.

    • Main Results:

    • The paper details the data acquisition system structure of OXBACT-III.
    • System performance specifications are presented.

    Conclusions:

    • The OXBACT-III system represents a significant advancement in EIT technology for clinical research.
    • The system is designed to meet the demands of real-time adaptive EIT studies.
    • High-speed data acquisition and accuracy are key features of the new system.