Evidence map›Paper›PMID 38549955›Full record

ArticleHardwareX2024

A Wearable Open-Source electrical impedance tomography device.

Andrew Creegan, Joshua Bradfield, Samuel Richardson, Llewellyn Sims Johns, Kelly Burrowes, Haribalan Kumar, Poul M F Nielsen, Merryn H Tawhai

Abstract read
In one paragraph

Article in HardwareX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Andrew CreeganAuckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand.
Joshua BradfieldAuckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand.
Samuel RichardsonAuckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand.
Llewellyn Sims JohnsAuckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand.
Kelly BurrowesAuckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand.
Haribalan KumarAuckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand.
Poul M F NielsenAuckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand.
Merryn H TawhaiAuckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrical impedance tomography (EIT) is medical imaging technique in which small electrical signals are used to map the electrical impedance distribution within the body. It is safe and non-invasive, which make it attractive for use in continuous monitoring or outpatient applications, but the high cost of commercial devices is an impediment to its adoption. Over the last 10 years, many research groups have developed their own EIT devices, but few designs for open-source EIT hardware are available. In this work, we present a complete open-source EIT system that is designed to be suitable for monitoring the lungs of free breathing subjects. The device is low-cost, wearable, and is designed to comply with the industry accepted safety standard for EIT. The device has been tested in two regimes: Firstly in terms of measurement uncertainty as a voltage measurement system, and secondly against a set of measures that have been proposed specifically for EIT hardware. The voltage measurement uncertainty of the device was measured to be - 0.7 % ± 0.36 mV. The EIT specific performance was measured in a phantom test designed to be as physiologically representative as practicable, and the device performed similarly to other published devices. This work will contribute to increased accessibility of EIT for study and will contribute to consensus on testing methodology for EIT devices.

Indexed as

EITElectrical impedance tomographyMedical imagingOpen sourceWearable

Identifiers

PMID38549955
PMCPMC10973678

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.