Evidence map›Paper›PMID 33095744›Full record

ArticleIET systems biology2020

Estimation of skin impedance models with experimental data and a proposed model for human skin impedance.

Dhruba Jyoti Bora, Rajdeep Dasgupta

Abstract read
In one paragraph

Article in IET systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Wearable disposable electrotherapy.Nature communications · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Quasistatic approximation in neuromodulation.Journal of neural engineering · 2024
    Review
  9. Detecting and monitoring incontinence associated dermatitis: Does impedance spectroscopy have a part to play?Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Dhruba Jyoti BoraDepartment of Electronics and Instrumentation Engineering, NIT Silchar, Assam, Silchar, India. dhrubajyoti139@gmail.com.
Rajdeep DasguptaDepartment of Electronics and Instrumentation Engineering, NIT Silchar, Assam, Silchar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The skin is a complex biological tissue whose impedance varies with frequency. The properties and structure of skin changes with the location on the body, age, geographical location and other factors. Considering these factors, skin impedance analysis is a sophisticated data analysis. However, despite all these variations, various researchers have always worked to develop an equivalent electrical model of the skin. The two most important categories of electrical models are RC-based model and CPE-based model which focus on the physiological stratification and biological properties of skin, respectively. In this work, experimental skin impedance data is acquired from ten sites on the body to find the fitting model. It is observed that a hybrid of fractional-order CPE-based model and higher-order RC layered-based model can provide the best fitting electrical model of skin. A new model is developed with this hybrid orders. Genetic algorithm is used for the extraction of parameter components. Least error of fitting has been observed for the proposed model as compared with the other models. This model can be used in correlating many skin problems and in the development of diagnostic tools. It will offer an additional supportive tool in-vitro to the medical specialist.

Indexed as

Electric ImpedanceModels, BiologicalSkin Physiological PhenomenaAdultAlgorithmsComputer SimulationHumansSkin

Identifiers

PMID33095744
PMCPMC8687349

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.