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

Absolute and Local Extreme Values01:22

Absolute and Local Extreme Values

63
The highest and lowest values of a function, relative to a reference axis, are known as extreme values. These include absolute maximum and absolute minimum values, which represent the highest and lowest points the function reaches across its entire domain. Within a restricted portion of the function, the highest and lowest values are referred to as local maximum and local minimum values, respectively.Periodic functions, such as sine and cosine, show extreme values at infinitely many points due...
63
Biodiversity and Human Values01:24

Biodiversity and Human Values

17.0K
Human civilization relies on biodiversity in many ways. Sudden changes in species biodiversity result in environmental changes that can modify weather patterns and therefore human civilizations.
17.0K
Professional Values01:29

Professional Values

10.6K
Nurses are responsible for caring for patients during birth, death, illness, and healing. Professional values guide the decisions and actions that nurses make in their careers. If nurses know the decisions and actions to take, providing patients with exceptional care is possible.
The values that are the foundation of the nursing profession are altruism, autonomy, human dignity, and social justice.
First, altruism refers to the concern for the welfare and well-being of others without personal...
10.6K
Critical Values01:31

Critical Values

10.3K
A critical value is a definite value obtained from a particular probability distribution at a predecided confidence level (or a predecided significance level) for a given population parameter. The critical value provides demarcation that separates the sample statistics that are likely to occur from the ones that are unlikely to occur based on the given probability distribution and the population parameter to be estimated. The critical value for normal distribution is obtained from the z...
10.3K
Mean Absolute Deviation01:13

Mean Absolute Deviation

3.3K
The mean absolute deviation is also a measure of the variability of data in a sample. It is the absolute value of the average difference between the data values and the mean.
Let us consider a dataset containing the number of unsold cupcakes in five shops: 10, 15, 8, 7, and 10. Initially, calculate the sample mean. Then calculate the deviation, or the difference, between each data value and the mean. Next, the absolute values of these deviations are added and divided by the sample size to...
3.3K
z Scores and Unusual Values01:07

z Scores and Unusual Values

11.0K
The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
 This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
11.0K

You might also read

Related Articles

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

Sort by
Same author

FEM-based volume estimation using electrode catheter measurements.

Journal of electrical bioimpedance·2026
Same author

For a better understanding of thermoregulation in premature infants≤28 weeks of gestation: infrared thermography (IRT) and photoplethysmography imaging (PPGI) in a hybrid camera model as non-contact measuring methods.

Zeitschrift fur Geburtshilfe und Neonatologie·2026
Same author

A systematic review of pandemic ventilator designs.

Biomedizinische Technik. Biomedical engineering·2026
Same author

Spatial temperature monitoring of preterm infants using a multi-modal camera setup.

Medical & biological engineering & computing·2026
Same author

Non-contact monitoring of vital parameters in preterm infants: Insights from infrared thermography and photoplethysmography imaging.

Zeitschrift fur Geburtshilfe und Neonatologie·2026
Same author

Non-contact monitoring in neonatology.

Zeitschrift fur Geburtshilfe und Neonatologie·2026

Related Experiment Video

Updated: Jan 28, 2026

Eye Irritation Test EIT for Hazard Identification of Eye Irritating Chemicals using Reconstructed Human Cornea-like Epithelial RhCE Tissue Model
10:13

Eye Irritation Test EIT for Hazard Identification of Eye Irritating Chemicals using Reconstructed Human Cornea-like Epithelial RhCE Tissue Model

Published on: August 23, 2015

40.2K

Reconstruction algorithm for frequency-differential EIT using absolute values.

Tobias Menden1, Jakob Orschulik1, Sébastien Dambrun1

  • 1Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany.

Physiological Measurement
|March 1, 2019
PubMed
Summary

This study enhances frequency-differential electrical impedance tomography (fdEIT) for better tissue conductivity imaging. The improved method accurately reconstructs conductivity and distinguishes organs, aiding lung disease detection.

More Related Videos

Mapping Absolute DNA Density in Cell Nuclei using Single-molecule Localization Microscopy
10:57

Mapping Absolute DNA Density in Cell Nuclei using Single-molecule Localization Microscopy

Published on: November 11, 2025

798
Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.9K

Related Experiment Videos

Last Updated: Jan 28, 2026

Eye Irritation Test EIT for Hazard Identification of Eye Irritating Chemicals using Reconstructed Human Cornea-like Epithelial RhCE Tissue Model
10:13

Eye Irritation Test EIT for Hazard Identification of Eye Irritating Chemicals using Reconstructed Human Cornea-like Epithelial RhCE Tissue Model

Published on: August 23, 2015

40.2K
Mapping Absolute DNA Density in Cell Nuclei using Single-molecule Localization Microscopy
10:57

Mapping Absolute DNA Density in Cell Nuclei using Single-molecule Localization Microscopy

Published on: November 11, 2025

798
Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.9K

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Electrical Engineering

Background:

  • Tissue conductivity varies with frequency, a property exploited by frequency-differential electrical impedance tomography (fdEIT).
  • fdEIT uses surface potential measurements from injected currents at two frequencies to map internal tissue conductivity.
  • Accurate reconstruction of conductivity distributions is crucial for medical diagnostics.

Purpose of the Study:

  • To improve the accuracy and robustness of frequency-differential electrical impedance tomography (fdEIT) reconstructions.
  • To address challenges in fdEIT, including unknown torso geometries and electrode displacement.
  • To enhance the detection and monitoring of lung pathologies.

Main Methods:

  • An extended Gauss-Newton method incorporating absolute measurement data was developed.
  • The approach was tested for reconstructing conductivity distributions, particularly for lung pathologies.
  • Performance was evaluated against established methods like GREIT and the traditional Gauss-Newton method.

Main Results:

  • Precise reconstruction of background frequency-dependent conductivity was achieved.
  • Clear contrast between different organs was successfully obtained.
  • The algorithm demonstrated superior performance compared to GREIT and traditional Gauss-Newton methods.

Conclusions:

  • The enhanced fdEIT algorithm provides robust and accurate conductivity imaging, even with noise.
  • This technique shows significant potential for diagnosing and monitoring lung diseases such as edema and atelectasis.
  • The method effectively handles complexities like unknown geometries and electrode shifts.