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Bloodstain Pattern Analysis: implementation of a fluid dynamic model for position determination of victims
Bloodstain Pattern Analysis is a forensic discipline in which, among others, the position of victims can be determined at crime scenes on which blood has been shed. To determine where the blood source was investigators use a straight-line approximation for the trajectory, ignoring effects of gravity...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476491/ https://www.ncbi.nlm.nih.gov/pubmed/26099070 http://dx.doi.org/10.1038/srep11461 |
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author | Laan, Nick de Bruin, Karla G. Slenter, Denise Wilhelm, Julie Jermy, Mark Bonn, Daniel |
author_facet | Laan, Nick de Bruin, Karla G. Slenter, Denise Wilhelm, Julie Jermy, Mark Bonn, Daniel |
author_sort | Laan, Nick |
collection | PubMed |
description | Bloodstain Pattern Analysis is a forensic discipline in which, among others, the position of victims can be determined at crime scenes on which blood has been shed. To determine where the blood source was investigators use a straight-line approximation for the trajectory, ignoring effects of gravity and drag and thus overestimating the height of the source. We determined how accurately the location of the origin can be estimated when including gravity and drag into the trajectory reconstruction. We created eight bloodstain patterns at one meter distance from the wall. The origin’s location was determined for each pattern with: the straight-line approximation, our method including gravity, and our method including both gravity and drag. The latter two methods require the volume and impact velocity of each bloodstain, which we are able to determine with a 3D scanner and advanced fluid dynamics, respectively. We conclude that by including gravity and drag in the trajectory calculation, the origin’s location can be determined roughly four times more accurately than with the straight-line approximation. Our study enables investigators to determine if the victim was sitting or standing, or it might be possible to connect wounds on the body to specific patterns, which is important for crime scene reconstruction. |
format | Online Article Text |
id | pubmed-4476491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44764912015-06-24 Bloodstain Pattern Analysis: implementation of a fluid dynamic model for position determination of victims Laan, Nick de Bruin, Karla G. Slenter, Denise Wilhelm, Julie Jermy, Mark Bonn, Daniel Sci Rep Article Bloodstain Pattern Analysis is a forensic discipline in which, among others, the position of victims can be determined at crime scenes on which blood has been shed. To determine where the blood source was investigators use a straight-line approximation for the trajectory, ignoring effects of gravity and drag and thus overestimating the height of the source. We determined how accurately the location of the origin can be estimated when including gravity and drag into the trajectory reconstruction. We created eight bloodstain patterns at one meter distance from the wall. The origin’s location was determined for each pattern with: the straight-line approximation, our method including gravity, and our method including both gravity and drag. The latter two methods require the volume and impact velocity of each bloodstain, which we are able to determine with a 3D scanner and advanced fluid dynamics, respectively. We conclude that by including gravity and drag in the trajectory calculation, the origin’s location can be determined roughly four times more accurately than with the straight-line approximation. Our study enables investigators to determine if the victim was sitting or standing, or it might be possible to connect wounds on the body to specific patterns, which is important for crime scene reconstruction. Nature Publishing Group 2015-06-22 /pmc/articles/PMC4476491/ /pubmed/26099070 http://dx.doi.org/10.1038/srep11461 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Laan, Nick de Bruin, Karla G. Slenter, Denise Wilhelm, Julie Jermy, Mark Bonn, Daniel Bloodstain Pattern Analysis: implementation of a fluid dynamic model for position determination of victims |
title | Bloodstain Pattern Analysis: implementation of a fluid dynamic model for position
determination of victims |
title_full | Bloodstain Pattern Analysis: implementation of a fluid dynamic model for position
determination of victims |
title_fullStr | Bloodstain Pattern Analysis: implementation of a fluid dynamic model for position
determination of victims |
title_full_unstemmed | Bloodstain Pattern Analysis: implementation of a fluid dynamic model for position
determination of victims |
title_short | Bloodstain Pattern Analysis: implementation of a fluid dynamic model for position
determination of victims |
title_sort | bloodstain pattern analysis: implementation of a fluid dynamic model for position
determination of victims |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476491/ https://www.ncbi.nlm.nih.gov/pubmed/26099070 http://dx.doi.org/10.1038/srep11461 |
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