Evidence map›Paper›PMID 29861438›Full record

ArticleSensors (Basel, Switzerland)2018

Analysis of Consistency of Transthoracic Bioimpedance Measurements Acquired with Dry Carbon Black PDMS Electrodes, Adhesive Electrodes, and Wet Textile Electrodes.

Hugo F Posada-Quintero, Natasa Reljin, Caitlin Eaton-Robb, Yeonsik Noh, Jarno Riistama, Ki H Chon

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 19 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.

Hugo F Posada-QuinteroDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269 USA. h.posada@uconn.edu.ORCID 0000-0003-4514-4772
Natasa ReljinDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269 USA. natasa.reljin@gmail.com.ORCID 0000-0001-8799-9379
Caitlin Eaton-RobbDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269 USA. caitlin.eaton_robb@uconn.edu.
Yeonsik NohCollege of Nursing, University of Massachusetts Amherst, Amherst, MA 01003, USA. ynoh@umass.edu.
Jarno RiistamaPhilips Research, 5656 Eindhoven, The Netherlands. jarno.riistama@philips.com.
Ki H ChonDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269 USA. ki.chon@uconn.edu.
University of Connecticut · USAmherst College · USPhilips (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of intrathoracic volume retention could be crucial to the early detection of decompensated heart failure (HF). Transthoracic Bioimpedance (TBI) measurement is an indirect, promising approach to assessing intrathoracic fluid volume. Gel-based adhesive electrodes can produce skin irritation, as the patient needs to place them daily in the same spots. Textile electrodes can reduce skin irritation; however, they inconveniently require wetting before each use and provide poor adherence to the skin. Previously, we developed waterproof reusable dry carbon black polydimethylsiloxane (CB/PDMS) electrodes that exhibited a good response to motion artifacts. We examined whether these CB/PDMS electrodes were suitable sensing components to be embedded into a monitoring vest for measuring TBI and the electrocardiogram (ECG). We recruited

Indexed as

bioimpedanceelectrocardiogramelectrodesfluid accumulationheart failure

Identifiers

PMID29861438
PMCPMC6022212
OpenAlexW2803614755

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.