Evidence map›Paper›PMID 33256120›Full record

ArticleSensors (Basel, Switzerland)2020

Bioimpedance Sensor and Methodology for Acute Pain Monitoring.

Mihaela Ghita, Martine Neckebroek, Jasper Juchem, Dana Copot, Cristina I Muresan, Clara M Ionescu

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 41 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Mihaela GhitaResearch Group of Dynamical Systems and Control, Ghent University, Tech Lane Science Park 125, 9052 Ghent, Belgium.ORCID 0000-0003-0391-3270
Martine NeckebroekDepartment of Anesthesia, Ghent University Hospital, C. Heymanslaan 10, 9000 Gent, Belgium.
Jasper JuchemResearch Group of Dynamical Systems and Control, Ghent University, Tech Lane Science Park 125, 9052 Ghent, Belgium.ORCID 0000-0001-6160-4826
Dana CopotResearch Group of Dynamical Systems and Control, Ghent University, Tech Lane Science Park 125, 9052 Ghent, Belgium.ORCID 0000-0002-6010-830X
Cristina I MuresanDepartment of Automation, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania.ORCID 0000-0003-2301-4133
Clara M IonescuResearch Group of Dynamical Systems and Control, Ghent University, Tech Lane Science Park 125, 9052 Ghent, Belgium.ORCID 0000-0001-7685-035X
Ghent University · BETechnical University of Cluj-Napoca · ROGhent University Hospital · BE

Funding

Consiliul National al Cercetarii Stiintifice PN-III-P2-2.1-PED- 411 2019-0322Fonds Wetenschappelijk Onderzoek 1184220NFonds Wetenschappelijk Onderzoek 12X6819NFonds Wetenschappelijk Onderzoek 1501517NFonds Wetenschappelijk Onderzoek G026514N
6 · The paper itself

Abstract

The paper aims to revive the interest in bioimpedance analysis for pain studies in communicating and non-communicating (anesthetized) individuals for monitoring purpose. The plea for exploitation of full potential offered by the complex (bio)impedance measurement is emphasized through theoretical and experimental analysis. A non-invasive, low-cost reliable sensor to measure skin impedance is designed with off-the-shelf components. This is a second generation prototype for pain detection, quantification, and modeling, with the objective to be used in fully anesthetized patients undergoing surgery. The 2D and 3D time-frequency, multi-frequency evaluation of impedance data is based on broadly available signal processing tools. Furthermore, fractional-order impedance models are implied to provide an indication of change in tissue dynamics correlated with absence/presence of nociceptor stimulation. The unique features of the proposed sensor enhancements are described and illustrated here based on mechanical and thermal tests and further reinforced with previous studies from our first generation prototype.

Indexed as

Acute PainSignal Processing, Computer-AssistedElectric ImpedanceHumanselectrical impedance spectroscopyfractional-order impedance modelmodel identificationnociceptive stimulationnoninvasive pain sensortime–frequency analysis

Identifiers

PMID33256120
PMCPMC7729453
OpenAlexW3108889534

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.