Evidence map›Paper›PMID 38596118›Full record

ArticleHeliyon2024

Circuital modelling in muscle tissue impedance measurements.

Fabrizio Clemente, Francesco Amato, Sarah Adamo, Michela Russo, Francesca Angelone, Alfonso Maria Ponsiglione, Maria Romano

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Fabrizio ClementeInstitute of Crystallography, Italian National Research Council, Italy.
Francesco AmatoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125, Naples, Italy.
Sarah AdamoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125, Naples, Italy.
Michela RussoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125, Naples, Italy.
Francesca AngeloneDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125, Naples, Italy.
Alfonso Maria PonsiglioneDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125, Naples, Italy.
Maria RomanoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125, Naples, Italy.
University of Naples Federico II · ITNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrical impedance spectroscopy (EIS) stands as a widely employed characterization technique for studying muscular tissue in both physio/pathological conditions. This methodology commonly involves modeling tissues through equivalent electrical circuits, facilitating a correlation between electrical parameters and physiological properties. Within existing literature, diverse equivalent electrical circuits have been proposed, varying in complexity and fitting properties. However, to date, none have definitively proven to be the most suiTable for tissue impedance measurements. This study aims to outline a systematic methodology for EIS measurements and to compare the performances of three widely used electrical circuits in characterizing both physiological and pathological muscle tissue conditions. Results highlight that, for optimal fitting with electrical parameters relevant to tissue characterization, the choice of the circuit to be fitted closely hinges on the specific measurement objectives, including measurement parameters and associated physiological features. Naturally, this necessitates a balance between simplicity and fitting accuracy.

Indexed as

Circuital electrical modelsElectrical impedance spectroscopyMuscular tissuePhysiological measurements

Identifiers

PMID38596118
PMCPMC11002046
OpenAlexW4393230761

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.