Cargando…
Foot Modeling and Smart Plantar Pressure Reconstruction from Three Sensors
In order to monitor pressure under feet, this study presents a biomechanical model of the human foot. The main elements of the foot that induce the plantar pressure distribution are described. Then the link between the forces applied at the ankle and the distribution of the plantar pressure is estab...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Open
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4231377/ https://www.ncbi.nlm.nih.gov/pubmed/25400713 http://dx.doi.org/10.2174/1874120701408010084 |
_version_ | 1782344436929265664 |
---|---|
author | Ghaida, Hussein Abou Mottet, Serge Goujon, Jean-Marc |
author_facet | Ghaida, Hussein Abou Mottet, Serge Goujon, Jean-Marc |
author_sort | Ghaida, Hussein Abou |
collection | PubMed |
description | In order to monitor pressure under feet, this study presents a biomechanical model of the human foot. The main elements of the foot that induce the plantar pressure distribution are described. Then the link between the forces applied at the ankle and the distribution of the plantar pressure is established. Assumptions are made by defining the concepts of a 3D internal foot shape, which can be extracted from the plantar pressure measurements, and a uniform elastic medium, which describes the soft tissues behaviour. In a second part, we show that just 3 discrete pressure sensors per foot are enough to generate real time plantar pressure cartographies in the standing position or during walking. Finally, the generated cartographies are compared with pressure cartographies issued from the F-SCAN system. The results show 0.01 daN (2% of full scale) average error, in the standing position. |
format | Online Article Text |
id | pubmed-4231377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Bentham Open |
record_format | MEDLINE/PubMed |
spelling | pubmed-42313772014-11-14 Foot Modeling and Smart Plantar Pressure Reconstruction from Three Sensors Ghaida, Hussein Abou Mottet, Serge Goujon, Jean-Marc Open Biomed Eng J Article In order to monitor pressure under feet, this study presents a biomechanical model of the human foot. The main elements of the foot that induce the plantar pressure distribution are described. Then the link between the forces applied at the ankle and the distribution of the plantar pressure is established. Assumptions are made by defining the concepts of a 3D internal foot shape, which can be extracted from the plantar pressure measurements, and a uniform elastic medium, which describes the soft tissues behaviour. In a second part, we show that just 3 discrete pressure sensors per foot are enough to generate real time plantar pressure cartographies in the standing position or during walking. Finally, the generated cartographies are compared with pressure cartographies issued from the F-SCAN system. The results show 0.01 daN (2% of full scale) average error, in the standing position. Bentham Open 2014-10-30 /pmc/articles/PMC4231377/ /pubmed/25400713 http://dx.doi.org/10.2174/1874120701408010084 Text en © Abou Ghaida et al.; Licensee Bentham Open. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. |
spellingShingle | Article Ghaida, Hussein Abou Mottet, Serge Goujon, Jean-Marc Foot Modeling and Smart Plantar Pressure Reconstruction from Three Sensors |
title | Foot Modeling and Smart Plantar Pressure Reconstruction from Three Sensors |
title_full | Foot Modeling and Smart Plantar Pressure Reconstruction from Three Sensors |
title_fullStr | Foot Modeling and Smart Plantar Pressure Reconstruction from Three Sensors |
title_full_unstemmed | Foot Modeling and Smart Plantar Pressure Reconstruction from Three Sensors |
title_short | Foot Modeling and Smart Plantar Pressure Reconstruction from Three Sensors |
title_sort | foot modeling and smart plantar pressure reconstruction from three sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4231377/ https://www.ncbi.nlm.nih.gov/pubmed/25400713 http://dx.doi.org/10.2174/1874120701408010084 |
work_keys_str_mv | AT ghaidahusseinabou footmodelingandsmartplantarpressurereconstructionfromthreesensors AT mottetserge footmodelingandsmartplantarpressurereconstructionfromthreesensors AT goujonjeanmarc footmodelingandsmartplantarpressurereconstructionfromthreesensors |