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

Optimal filtering of EIT data in spectral expansion analysis

S Meeson1, A L Killingback, B H Blott

  • 1Department of Physics, University of Southampton, UK.

Physiological Measurement
|November 1, 1996
PubMed
Summary

Filtering noisy electrical impedance tomography (EIT) data, especially from spinal electrodes, improves gastric emptying image quality. This method enhances image fidelity by reducing artifacts and focusing on relevant signals.

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

Quantifying the volume of nitrous oxide mix wasted through stock rotation in a manifold supply system.

Anaesthesia reports·2026
Same author

Shining a light on blind spots in osteoarthritis research.

Osteoarthritis and cartilage·2026
Same author

Developmental Correlates of Epigenetic and Polygenic Indices of Cognition and Educational Attainment from Birth to Young Adulthood.

bioRxiv : the preprint server for biology·2026
Same author

A Principle-Based Approach to Visual Identification Systems for Hospitalized People with Dementia.

Journal of bioethical inquiry·2023
Same author

Radiological analysis and outcomes of isolated greater tuberosity fracture-dislocations.

Annals of the Royal College of Surgeons of England·2023
Same author

COS-Speech: protocol to develop a core outcome set for dysarthria after stroke for use in clinical practice and research.

Trials·2023

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Electrical Engineering

Background:

  • Electrical impedance tomography (EIT) measurements can suffer from low signal-to-noise ratios, particularly in vivo.
  • Image quality in EIT is influenced by electrode positioning and proximity to the current drive, impacting diagnostic accuracy.

Purpose of the Study:

  • To investigate the impact of filtering noisy EIT measurements on the fidelity of gastric emptying images.
  • To evaluate different filtering techniques and optimize their parameters for improved image reconstruction.

Main Methods:

  • Applied spectral expansion regularization filters, optimizing parameters using a chi-squared test.
  • Investigated the effect of removing specific noisy measurements, such as those from spinal electrodes, on image quality.

Related Experiment Videos

  • Analyzed the impact of filtering on the sensitivity matrix and its singular-value decomposition.

    • Main Results:

    • Filtering measurements from spinal electrodes significantly reduced artifacts in the spinal sector of conductivity maps for gastric imaging.
    • Removing weak signals consistently yielded small but noticeable improvements in image quality.
    • The filtering process led to a reduction in the size of the sensitivity matrix, simplifying subsequent analysis.

    Conclusions:

    • Filtering noisy data, particularly from electrodes in the path of signal interference like spinal electrodes, is beneficial for improving in vivo EIT imaging of gastric emptying.
    • Careful selection and optimization of filters are crucial to maximize image fidelity and minimize potential artifact generation.
    • The study highlights the importance of data preprocessing in EIT for enhancing diagnostic capabilities.