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 Concept Videos

Impedance Combination01:21

Impedance Combination

751
Consider a string of christmas lights, each bulb symbolizing an impedance element. In this series configuration, the flow of electric current remains uniform across every component. This behavior aligns with Kirchhoff's Voltage Law (KVL), which asserts that the total impedance in such a setup equals the sum of individual impedances—akin to resistors in series. It follows that the voltage from the power source is distributed proportionally among these components, adhering to the voltage...
751
Impedances and Admittance01:23

Impedances and Admittance

1.9K
In the realm of AC circuits, passive circuit elements like resistors, inductors, and capacitors take on a different character when characterized by phasor voltage and current. Their behavior is expressed through impedance, a vital concept in AC circuit analysis.
Impedance is a measure of resistance to sinusoidal current flow in an AC circuit. Unlike their behavior in DC circuits, where inductors appear as short circuits and capacitors as open circuits, the behavior of these components in AC...
1.9K
Series Impedances: Three-Phase Line01:27

Series Impedances: Three-Phase Line

444
Calculating series impedances for a three-phase overhead line involves evaluating resistances and inductive reactances in a network with three-phase and multiple neutral conductors grounded at regular intervals.
Using Kirchhoff's laws, an integro-differential equation for the network is derived. This equation accounts for unbalanced phase currents, which may induce return currents through neutral wires and the earth, seeking the least impedance path. Earth return conductors can replace the...
444
Bus Impedance Matrix01:24

Bus Impedance Matrix

529
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
529
Line Protection with Impedance Relays01:27

Line Protection with Impedance Relays

452
Coordinating time-delay overcurrent relays in complex radial systems and directional overcurrent relays in multi-source transmission loops can be challenging. Impedance relays address these issues by responding to the voltage-to-current ratio, specifically measuring the apparent impedance of a line. These relays become more sensitive during faults as current increases and voltage decreases, thereby reducing the apparent impedance.
Under normal conditions, low load currents keep the measured...
452
Multiple Allele Traits01:49

Multiple Allele Traits

38.1K
The Concept of Multiple Allelism
38.1K

You might also read

Related Articles

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

Sort by
Same author

Three Dimensional Microwave Data Inversion in Feature Space for Stroke Imaging.

IEEE transactions on medical imaging·2023
Same author

Deep feature-domain matching for cardiac-related component separation from a chest electrical impedance tomography image series: proof-of-concept study.

Physiological measurement·2022
Same author

Supervised Descent Learning for Thoracic Electrical Impedance Tomography.

IEEE transactions on bio-medical engineering·2020
Same author

Neural network-based supervised descent method for 2D electrical impedance tomography.

Physiological measurement·2020
Same author

Study on 3-D Acoustic Imaging for Human Thorax Based on Contrast Source Inversion.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2020
Same author

Feasibility study of acoustic imaging for human thorax using an acoustic contrast source inversion algorithm.

The Journal of the Acoustical Society of America·2018
Same journal

Highly Accelerated 1-mm Isotropic 3D Chemical Exchange Saturation Transfer MRI Using Wave-Co-CAIPI at 5 Tesla.

IEEE transactions on bio-medical engineering·2026
Same journal

Systematic Evaluation of Hip Exoskeleton Assistance Parameters for Enhancing Gait Stability During Ground Slip Perturbations.

IEEE transactions on bio-medical engineering·2026
Same journal

SleepConFormer: A Single-Channel EEG Framework for Sleep Staging and Consciousness Assessment in Patients with Disorders of Consciousness.

IEEE transactions on bio-medical engineering·2026
Same journal

Modeling Partial and Total Support of Left Ventricular Assist Device for Discrete Hemodynamic Control Framework.

IEEE transactions on bio-medical engineering·2026
Same journal

A Low-Cost Wearable TI-TACS Stimulator With Bipolar Quadratic-Boost Converter for Current Stimulation Validation in the Rat Brain.

IEEE transactions on bio-medical engineering·2026
Same journal

EMG-Based Gait Estimation Using Koopman-Inspired Method.

IEEE transactions on bio-medical engineering·2026
See all related articles

Related Experiment Video

Updated: Jan 31, 2026

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
05:56

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Published on: September 6, 2024

6.2K

Three-Dimensional Electrical Impedance Tomography With Multiplicative Regularization.

Ke Zhang, Maokun Li, Fan Yang

    IEEE Transactions on Bio-Medical Engineering
    |January 4, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces multiplicative regularization for 3D electrical impedance tomography (EIT) image reconstruction, improving accuracy and noise resistance. The method simplifies parameter selection and shows promise for thorax imaging applications.

    More Related Videos

    Performing In Vivo and Ex Vivo Electrical Impedance Myography in Rodents
    05:44

    Performing In Vivo and Ex Vivo Electrical Impedance Myography in Rodents

    Published on: June 8, 2022

    3.6K
    Author Spotlight: Unraveling Bacterial Responses to Antibiotics and Immune System in Tissues
    08:01

    Author Spotlight: Unraveling Bacterial Responses to Antibiotics and Immune System in Tissues

    Published on: March 1, 2024

    1.4K

    Related Experiment Videos

    Last Updated: Jan 31, 2026

    Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
    05:56

    Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

    Published on: September 6, 2024

    6.2K
    Performing In Vivo and Ex Vivo Electrical Impedance Myography in Rodents
    05:44

    Performing In Vivo and Ex Vivo Electrical Impedance Myography in Rodents

    Published on: June 8, 2022

    3.6K
    Author Spotlight: Unraveling Bacterial Responses to Antibiotics and Immune System in Tissues
    08:01

    Author Spotlight: Unraveling Bacterial Responses to Antibiotics and Immune System in Tissues

    Published on: March 1, 2024

    1.4K

    Area of Science:

    • Medical Imaging
    • Computational Electromagnetics

    Background:

    • Electrical Impedance Tomography (EIT) is an ill-posed inverse problem.
    • Traditional regularization methods require careful parameter selection.

    Purpose of the Study:

    • To apply a multiplicative regularization scheme to 3D EIT image reconstruction.
    • To improve image reconstruction accuracy and anti-noise performance.
    • To reduce the complexity of regularization parameter selection.

    Main Methods:

    • A cost functional was formulated by multiplying data misfit and regularization terms.
    • A weighted L2-norm with edge-preserving properties was used for regularization.
    • Gauss-Newton method minimized the cost functional.
    • Discrete Exterior Calculus (DEC) formulated gradient and divergence operators on unstructured meshes.

    Main Results:

    • Numerical and experimental results demonstrated good reconstruction accuracy.
    • The algorithm exhibited strong anti-noise performance.
    • Reconstructions using human thoracic data showed promising results for thorax imaging.

    Conclusions:

    • Multiplicative regularization is effective for 3D EIT image reconstruction.
    • The method simplifies regularization parameter selection.
    • DEC-based formulation enables robust regularization on unstructured meshes for EIT.