Evidence map›Paper›PMID 38041028›Full record

ArticleBMC emergency medicine2023

Using infrared cameras in drones to detect bleeding events.

Christoph West, Bernhard Kaus, Sean O' Sullivan, Henning Schneider, Oskar Seifert

Abstract read
In one paragraph

Article in BMC emergency medicine, 2023. 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
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.

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.

Christoph WestUniversity of Applied Sciences Giessen, Wiesenstrasse 14, 35390, Giessen, Germany.
Bernhard KausUniversity of Applied Sciences Giessen, Wiesenstrasse 14, 35390, Giessen, Germany.
Sean O' SullivanJustus-Liebig-University Giessen, Ludwigstrasse 23, 35390, Giessen, Germany.
Henning SchneiderUniversity of Applied Sciences Giessen, Wiesenstrasse 14, 35390, Giessen, Germany.
Oskar SeifertUniversity of Applied Sciences Giessen, Wiesenstrasse 14, 35390, Giessen, Germany. oskar.seifert@ges.thm.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHemorrhage is one of the main causes of death in trauma. Critical bleeding in patients needs to be detected as soon as possible to save the patient. Drones are gaining increasing importance in emergency services and can support rescue forces in accident scenarios such as a mass casualty incident.

methodsIn this study, a simulated pelvic hemorrhage was detected using a drone from 7 m above the ground over a time span of 30 s.

resultsThe results allow a good detection of the pelvic hemorrhage. Nevertheless, the simulated blood cools down quickly. After 30 s, there was no significant temperature difference compared to the rest of the body. At this point, further assessment is only possible via the RGB image.

conclusionThe findings suggest that bleeding from an open and continuously bleeding wound would most likely be detectable using the drone's thermal imaging camera, even over a longer period of time.

Indexed as

Emergency Medical ServicesUnmanned Aerial DevicesBody TemperatureHemorrhageHumansDroneHemorrhageMass casualty incidentThermal imaging

Identifiers

PMID38041028
PMCPMC10693069

What OpenQuestion holds

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Registered trials

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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.