Evidence map›Paper›PMID 36433301›Full record

ReviewSensors (Basel, Switzerland)2022

Parasitic Effects on Electrical Bioimpedance Systems: Critical Review.

David William Cordeiro Marcôndes, Aleksander Sade Paterno, Pedro Bertemes-Filho

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

3 authors.

David William Cordeiro MarcôndesCenter for Science and Technology, Department of Electrical Engineering, Santa Catarina State University, Joinville 89219710, Brazil.
Aleksander Sade PaternoCenter for Science and Technology, Department of Electrical Engineering, Santa Catarina State University, Joinville 89219710, Brazil.ORCID 0000-0002-9877-4850
Pedro Bertemes-FilhoCenter for Science and Technology, Department of Electrical Engineering, Santa Catarina State University, Joinville 89219710, Brazil.ORCID 0000-0002-5264-4874

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 88881594818/2020-01
6 · The paper itself

Abstract

Parasitic capacitance represents the main error source in measurement systems based on electrical impedance spectroscopy. The capacitive nature of electrodes' impedance in tetrapolar configuration can give origin to phase errors when electrodes are coupled to parasitic capacitances. Nevertheless, reactive charges in tissue excitation systems are susceptible to instability. Based on such a scenario, mitigating capacitive effects associated with the electrode is a requirement in order to reduce errors in the measurement system. A literature review about the main compensation techniques for parasitic capacitance was carried out. The selected studies were categorized into three groups: (i) compensation in electronic instrumentation; (ii) compensation in measurement processing, and (iii) compensation by negative impedance converters. The three analyzed methods emerged as effective against fixed capacitance. No method seemed capable of mitigating the effects of electrodes' capacitance, that changes in the frequency spectrum. The analysis has revealed the need for a method to compensate varying capacitances, since electrodes' impedance is unknown.

Indexed as

ElectricityElectronicsElectric CapacitanceElectric ImpedanceElectrodescritical reviewelectrical bioimpedanceerror compensationsparasitic capacitances

Identifiers

PMID36433301
PMCPMC9693567

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.