A Novel Efficient FEM Thin Shell Model for Bio-Impedance Analysis.

Jiawei Tang, Mingyang Lu, Yuedong Xie, Wuliang Yin

Abstract read

In one paragraph

Article in Biosensors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Biomedical Applications of Electromagnetic Detection: A Brief Review.Biosensors · 2021
Review

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

4 authors.

Jiawei TangSchool of Electrical and Electronics Engineering, The University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0002-2495-5683

Mingyang LuSchool of Electrical and Electronics Engineering, The University of Manchester, Manchester M13 9PL, UK.

Yuedong XieSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100036, China.ORCID 0000-0001-9535-0764

Wuliang YinSchool of Electrical and Electronics Engineering, The University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0001-5927-3052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a novel method for accelerating eddy currents calculation on a cell model using the finite element method (FEM) is presented. Due to the tiny thickness of cell membrane, a full-mesh cell model requires a large number of mesh elements and hence intensive computation resources and long time. In this paper, an acceleration method is proposed to reduce the number of mesh elements and therefore reduce the computing time. It is based on the principle of replacing the thin cell membrane with an equivalent thicker structure. The method can reduce the number of mesh elements to 23% and the computational time to 17%, with an error of less than 1%. The method was verified using 2D and 3D finite element methods and can potentially be extended to other thin shell structures. The simulation results were validated by measurement and analytical results.

Indexed as

Biosensing TechniquesFinite Element AnalysisModels, BiologicalSingle-Cell AnalysisElectric ImpedanceHumansbio-impedance spectroscopy? dispersionfinite element methodMaxwell–Wagner effectthin shell model

Identifiers

PMID32560582

DOI10.3390/bios10060069

PMCPMC7345135

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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.