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Finite Element Modelling of the Femur Bone of a Subject Suffering from Motor Neuron Lesion Subjected to Electrical Stimulation
Bone loss and a decrease in bone mineral density is frequently seen in patients with motor neuron lesion due to lack of mechanical stimulation. This causes weakening of the bones and a greater risk of fracture. By using functional electrical stimulation it is possible to activate muscles in the body...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PAGEPress Publications, Pavia, Italy
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756738/ https://www.ncbi.nlm.nih.gov/pubmed/26913140 http://dx.doi.org/10.4081/ejtm.2014.2187 |
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author | Gislason, Magnus K. Ingvarsson, Páll Gargiulo, Paolo Yngvason, Stefán Guðmundsdóttir, Vilborg Knútsdóttir, Sigrún Helgason, Þórður |
author_facet | Gislason, Magnus K. Ingvarsson, Páll Gargiulo, Paolo Yngvason, Stefán Guðmundsdóttir, Vilborg Knútsdóttir, Sigrún Helgason, Þórður |
author_sort | Gislason, Magnus K. |
collection | PubMed |
description | Bone loss and a decrease in bone mineral density is frequently seen in patients with motor neuron lesion due to lack of mechanical stimulation. This causes weakening of the bones and a greater risk of fracture. By using functional electrical stimulation it is possible to activate muscles in the body to produce the necessary muscle force to stimulate muscle growth and potentially decrease the rate of bone loss. A longitudinal study was carried out on a single patient undergoing electrical stimulation over a 6 year period. The patient underwent a CT scan each year and a full three dimensional finite element model for each year was created using Mimics (Materialise) and Abaqus (Simulia) to calculate the risk of fracture under physiologically relevant loading conditions. Using empirical formulas connecting the bone mineral density to the stiffness and ultimate tensile stress of the bone, each element was assigned a unique material property, based on its density. The risk of fracture was estimated by calculating the ratio between the predicted stress and the ultimate tensile stress, should it exceed unity, failure was assumed. The results showed that the number of elements that were predicted to be at risk of failure varied between years. |
format | Online Article Text |
id | pubmed-4756738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | PAGEPress Publications, Pavia, Italy |
record_format | MEDLINE/PubMed |
spelling | pubmed-47567382016-02-24 Finite Element Modelling of the Femur Bone of a Subject Suffering from Motor Neuron Lesion Subjected to Electrical Stimulation Gislason, Magnus K. Ingvarsson, Páll Gargiulo, Paolo Yngvason, Stefán Guðmundsdóttir, Vilborg Knútsdóttir, Sigrún Helgason, Þórður Eur J Transl Myol Original Articles Bone loss and a decrease in bone mineral density is frequently seen in patients with motor neuron lesion due to lack of mechanical stimulation. This causes weakening of the bones and a greater risk of fracture. By using functional electrical stimulation it is possible to activate muscles in the body to produce the necessary muscle force to stimulate muscle growth and potentially decrease the rate of bone loss. A longitudinal study was carried out on a single patient undergoing electrical stimulation over a 6 year period. The patient underwent a CT scan each year and a full three dimensional finite element model for each year was created using Mimics (Materialise) and Abaqus (Simulia) to calculate the risk of fracture under physiologically relevant loading conditions. Using empirical formulas connecting the bone mineral density to the stiffness and ultimate tensile stress of the bone, each element was assigned a unique material property, based on its density. The risk of fracture was estimated by calculating the ratio between the predicted stress and the ultimate tensile stress, should it exceed unity, failure was assumed. The results showed that the number of elements that were predicted to be at risk of failure varied between years. PAGEPress Publications, Pavia, Italy 2015-04-07 /pmc/articles/PMC4756738/ /pubmed/26913140 http://dx.doi.org/10.4081/ejtm.2014.2187 Text en http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License (by-nc 3.0) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Original Articles Gislason, Magnus K. Ingvarsson, Páll Gargiulo, Paolo Yngvason, Stefán Guðmundsdóttir, Vilborg Knútsdóttir, Sigrún Helgason, Þórður Finite Element Modelling of the Femur Bone of a Subject Suffering from Motor Neuron Lesion Subjected to Electrical Stimulation |
title | Finite Element Modelling of the Femur Bone of a Subject Suffering from Motor Neuron Lesion Subjected to Electrical Stimulation |
title_full | Finite Element Modelling of the Femur Bone of a Subject Suffering from Motor Neuron Lesion Subjected to Electrical Stimulation |
title_fullStr | Finite Element Modelling of the Femur Bone of a Subject Suffering from Motor Neuron Lesion Subjected to Electrical Stimulation |
title_full_unstemmed | Finite Element Modelling of the Femur Bone of a Subject Suffering from Motor Neuron Lesion Subjected to Electrical Stimulation |
title_short | Finite Element Modelling of the Femur Bone of a Subject Suffering from Motor Neuron Lesion Subjected to Electrical Stimulation |
title_sort | finite element modelling of the femur bone of a subject suffering from motor neuron lesion subjected to electrical stimulation |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756738/ https://www.ncbi.nlm.nih.gov/pubmed/26913140 http://dx.doi.org/10.4081/ejtm.2014.2187 |
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