Evidence map›Paper›PMID 33317181›Full record

ArticleSensors (Basel, Switzerland)2020

Self-Abrading Servo Electrode Helmet for Electrical Impedance Tomography.

James Avery, Brett Packham, Hwan Koo, Ben Hanson, David Holder

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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, 0 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

5 authors at 1 institution in 1 country.

James AveryDepartment of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-4015-1802
Brett PackhamDepartment Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
Hwan KooDepartment Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
Ben HansonDepartment of Mechanical Engineering, University College London, London WC1E 7JE, UK.ORCID 0000-0003-4661-6778
David HolderDepartment Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.ORCID 0000-0003-2755-6124
University College London · GB

Funding

NIHR Imperial BRC N/A
6 · The paper itself

Abstract

Electrical Impedance Tomography (EIT) is a medical imaging technique which has the potential to reduce time to treatment in acute stroke by rapidly differentiating between ischaemic and haemorrhagic stroke. The potential of these methods has been demonstrated in simulation and phantoms, it has not yet successfully translated to clinical studies, due to high sensitivity to errors in scalp electrode mislocation and poor electrode-skin contact. To overcome these limitations, a novel electrode helmet was designed, bearing 32 independently controlled self-abrading electrodes. The contact impedance was reduced through rotation on an abrasive electrode on the scalp using a combined impedance, rotation and position feedback loop. Potentiometers within each unit measure the electrode tip displacement within 0.1 mm from the rigid helmet body. Characterisation experiments on a large-scale test rig demonstrated that approximately 20 kPa applied pressure and 5 rotations was necessary to achieve the target 5 kΩ contact impedance at 20 Hz. This performance was then replicated in a simplified self-contained unit where spring loaded electrodes are rotated by servo motors. Finally, a 32-channel helmet and controller which sequentially minimised contact impedance and simultaneously located each electrode was built which reduced the electrode application and localisation time to less than five minutes. The results demonstrated the potential of this approach to rapidly apply electrodes in an acute setting, removing a significant barrier for imaging acute stroke with EIT.

Indexed as

Electric ImpedanceHead Protective DevicesTomographyWearable Electronic DevicesElectrodesTomography, X-Ray Computedbioimpedance electrodesbrain imagingelectrical impedance tomographystroke

Identifiers

PMID33317181
PMCPMC7763319
OpenAlexW3112855951

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.