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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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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. |
format | Online Article Text |
id | pubmed-10693069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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