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Computational investigation of the Laplace law in compression therapy

Kevork Karakashian, Cheryl Pike, Raoul van Loon Orcid Logo

Journal of Biomechanics

Swansea University Author: Raoul van Loon Orcid Logo

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DOI (Published version): 10.1016/j.jbiomech.2018.12.021

Abstract

This study aims to use computational methods for elucidating the effect of limb shape on subgarment and subcutaneous pressures, stresses and strains. A framework was built that generates computational models from 3D arm scans using a depth sensing camera. Finite Element Analysis (FEA) was performed...

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Published in: Journal of Biomechanics
ISSN: 00219290
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa47969
first_indexed 2018-12-13T20:02:08Z
last_indexed 2023-01-11T14:23:27Z
id cronfa47969
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spelling 2022-09-26T11:46:48.2498549 v2 47969 2018-12-13 Computational investigation of the Laplace law in compression therapy 880b30f90841a022f1e5bac32fb12193 0000-0003-3581-5827 Raoul van Loon Raoul van Loon true false 2018-12-13 EAAS This study aims to use computational methods for elucidating the effect of limb shape on subgarment and subcutaneous pressures, stresses and strains. A framework was built that generates computational models from 3D arm scans using a depth sensing camera. Finite Element Analysis (FEA) was performed on the scans taken from 23 lymphoedema patients. Subgarment pressures were calculated based on local curvature for each patient and showed a large variability of pressure across each arm. Across the cohort an average maximum subgarment pressure of 5100 Pa was found as opposed to an intended garment pressure of 2500 Pa. Subcutaneous results show that stresses/strains in the adipose tissues more closely follow the subgarment pressures than in the stiffer skin tissues. Another novel finding was that a negative axial gradient in subgarment pressure (from wrist to elbow) consistently led to positive axial gradients for the Von Mises stresses in the adipose tissues; a phenomenon caused by a combination of arm shape and the stiffness ratio between skin and adipose tissues. In conclusion, this work fills a knowledge gap in compression therapy in clinical practice and can inform garment design or lead to optimal treatment strategies. Journal Article Journal of Biomechanics 00219290 FEA, Lymphedema, Compression garments, Computational modelling, 3D camera 31 12 2018 2018-12-31 10.1016/j.jbiomech.2018.12.021 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University 2022-09-26T11:46:48.2498549 2018-12-13T16:50:05.0151088 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering Kevork Karakashian 1 Cheryl Pike 2 Raoul van Loon 0000-0003-3581-5827 3 0047969-07012019133430.pdf karakashian2018v3.pdf 2019-01-07T13:34:30.7870000 Output 4811747 application/pdf Accepted Manuscript true 2019-12-19T00:00:00.0000000 true eng
title Computational investigation of the Laplace law in compression therapy
spellingShingle Computational investigation of the Laplace law in compression therapy
Raoul van Loon
title_short Computational investigation of the Laplace law in compression therapy
title_full Computational investigation of the Laplace law in compression therapy
title_fullStr Computational investigation of the Laplace law in compression therapy
title_full_unstemmed Computational investigation of the Laplace law in compression therapy
title_sort Computational investigation of the Laplace law in compression therapy
author_id_str_mv 880b30f90841a022f1e5bac32fb12193
author_id_fullname_str_mv 880b30f90841a022f1e5bac32fb12193_***_Raoul van Loon
author Raoul van Loon
author2 Kevork Karakashian
Cheryl Pike
Raoul van Loon
format Journal article
container_title Journal of Biomechanics
publishDate 2018
institution Swansea University
issn 00219290
doi_str_mv 10.1016/j.jbiomech.2018.12.021
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Biomedical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Biomedical Engineering
document_store_str 1
active_str 0
description This study aims to use computational methods for elucidating the effect of limb shape on subgarment and subcutaneous pressures, stresses and strains. A framework was built that generates computational models from 3D arm scans using a depth sensing camera. Finite Element Analysis (FEA) was performed on the scans taken from 23 lymphoedema patients. Subgarment pressures were calculated based on local curvature for each patient and showed a large variability of pressure across each arm. Across the cohort an average maximum subgarment pressure of 5100 Pa was found as opposed to an intended garment pressure of 2500 Pa. Subcutaneous results show that stresses/strains in the adipose tissues more closely follow the subgarment pressures than in the stiffer skin tissues. Another novel finding was that a negative axial gradient in subgarment pressure (from wrist to elbow) consistently led to positive axial gradients for the Von Mises stresses in the adipose tissues; a phenomenon caused by a combination of arm shape and the stiffness ratio between skin and adipose tissues. In conclusion, this work fills a knowledge gap in compression therapy in clinical practice and can inform garment design or lead to optimal treatment strategies.
published_date 2018-12-31T19:37:40Z
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score 11.04748

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