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Using infrared cameras in drones to detect bleeding events

BACKGROUND: Hemorrhage 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...

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Autores principales: West, Christoph, Kaus, Bernhard, Sullivan, Sean O’, Schneider, Henning, Seifert, Oskar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693069/
https://www.ncbi.nlm.nih.gov/pubmed/38041028
http://dx.doi.org/10.1186/s12873-023-00912-9
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author West, Christoph
Kaus, Bernhard
Sullivan, Sean O’
Schneider, Henning
Seifert, Oskar
author_facet West, Christoph
Kaus, Bernhard
Sullivan, Sean O’
Schneider, Henning
Seifert, Oskar
author_sort West, Christoph
collection PubMed
description BACKGROUND: Hemorrhage 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. METHODS: In this study, a simulated pelvic hemorrhage was detected using a drone from 7 m above the ground over a time span of 30 s. RESULTS: The 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. CONCLUSION: The 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.
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spelling pubmed-106930692023-12-03 Using infrared cameras in drones to detect bleeding events West, Christoph Kaus, Bernhard Sullivan, Sean O’ Schneider, Henning Seifert, Oskar BMC Emerg Med Research BACKGROUND: Hemorrhage 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. METHODS: In this study, a simulated pelvic hemorrhage was detected using a drone from 7 m above the ground over a time span of 30 s. RESULTS: The 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. CONCLUSION: The 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. BioMed Central 2023-12-01 /pmc/articles/PMC10693069/ /pubmed/38041028 http://dx.doi.org/10.1186/s12873-023-00912-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
West, Christoph
Kaus, Bernhard
Sullivan, Sean O’
Schneider, Henning
Seifert, Oskar
Using infrared cameras in drones to detect bleeding events
title Using infrared cameras in drones to detect bleeding events
title_full Using infrared cameras in drones to detect bleeding events
title_fullStr Using infrared cameras in drones to detect bleeding events
title_full_unstemmed Using infrared cameras in drones to detect bleeding events
title_short Using infrared cameras in drones to detect bleeding events
title_sort using infrared cameras in drones to detect bleeding events
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693069/
https://www.ncbi.nlm.nih.gov/pubmed/38041028
http://dx.doi.org/10.1186/s12873-023-00912-9
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