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Quantitative Analysis of Foot Plantar Pressure During Walking
BACKGROUND: There are many methods of dynamic analysis of foot loading, however, we still need a simple, easily applicable system for foot plantar pressure analysis. In this study we asked the question: “Can a new system for foot evaluation, the ITE System, provide a good quantitative dynamic foot p...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6621646/ https://www.ncbi.nlm.nih.gov/pubmed/31266932 http://dx.doi.org/10.12659/MSM.914915 |
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author | Jasiewicz, Barbara Klimiec, Ewa Młotek, Magdalena Guzdek, Piotr Duda, Sławomir Adamczyk, Jakub Potaczek, Tomasz Piekarski, Jacek Kołaszczyński, Grzegorz |
author_facet | Jasiewicz, Barbara Klimiec, Ewa Młotek, Magdalena Guzdek, Piotr Duda, Sławomir Adamczyk, Jakub Potaczek, Tomasz Piekarski, Jacek Kołaszczyński, Grzegorz |
author_sort | Jasiewicz, Barbara |
collection | PubMed |
description | BACKGROUND: There are many methods of dynamic analysis of foot loading, however, we still need a simple, easily applicable system for foot plantar pressure analysis. In this study we asked the question: “Can a new system for foot evaluation, the ITE System, provide a good quantitative dynamic foot pressure analysis? Can it be used in clinical practice?”. MATERIAL/METHODS: Twenty healthy volunteers, 8 females and 12 males, aged 20 to 25 years old took part in this study. Normal static foot loading was tested using a typical pedobarographic platform, followed by a dynamic analysis using the foot-pressure ITE System. A new algorithm for data analysis (from 8 sensors) was proposed. RESULTS: The sum of all maximal values from sensors was 11.71 N mean, with relatively low standard deviation (SD) of 1.81. Loading of sensor 1 (heel) was the highest – on average 29.84%. Sensor 2 (medial midfoot) received the lowest loading – normal range for this segment would be 0–4%. The manner of loading heel/toes, dynamics of changes in loading during gait was quite diverse; when analyzing courses of changes on sensors, 4 gait patterns were observed. CONCLUSIONS: Use of the ITE System creates a new possibility for dynamic foot evaluation, drawing from pedobarography and methods of gait analysis. The proposed data analysis algorithm is simple and can be applied in all cases. Normally, 30% of the sum of all pressures during stance phase falls on the rearfoot; 39% falls on forefoot. |
format | Online Article Text |
id | pubmed-6621646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66216462019-07-30 Quantitative Analysis of Foot Plantar Pressure During Walking Jasiewicz, Barbara Klimiec, Ewa Młotek, Magdalena Guzdek, Piotr Duda, Sławomir Adamczyk, Jakub Potaczek, Tomasz Piekarski, Jacek Kołaszczyński, Grzegorz Med Sci Monit Clinical Research BACKGROUND: There are many methods of dynamic analysis of foot loading, however, we still need a simple, easily applicable system for foot plantar pressure analysis. In this study we asked the question: “Can a new system for foot evaluation, the ITE System, provide a good quantitative dynamic foot pressure analysis? Can it be used in clinical practice?”. MATERIAL/METHODS: Twenty healthy volunteers, 8 females and 12 males, aged 20 to 25 years old took part in this study. Normal static foot loading was tested using a typical pedobarographic platform, followed by a dynamic analysis using the foot-pressure ITE System. A new algorithm for data analysis (from 8 sensors) was proposed. RESULTS: The sum of all maximal values from sensors was 11.71 N mean, with relatively low standard deviation (SD) of 1.81. Loading of sensor 1 (heel) was the highest – on average 29.84%. Sensor 2 (medial midfoot) received the lowest loading – normal range for this segment would be 0–4%. The manner of loading heel/toes, dynamics of changes in loading during gait was quite diverse; when analyzing courses of changes on sensors, 4 gait patterns were observed. CONCLUSIONS: Use of the ITE System creates a new possibility for dynamic foot evaluation, drawing from pedobarography and methods of gait analysis. The proposed data analysis algorithm is simple and can be applied in all cases. Normally, 30% of the sum of all pressures during stance phase falls on the rearfoot; 39% falls on forefoot. International Scientific Literature, Inc. 2019-07-03 /pmc/articles/PMC6621646/ /pubmed/31266932 http://dx.doi.org/10.12659/MSM.914915 Text en © Med Sci Monit, 2019 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Clinical Research Jasiewicz, Barbara Klimiec, Ewa Młotek, Magdalena Guzdek, Piotr Duda, Sławomir Adamczyk, Jakub Potaczek, Tomasz Piekarski, Jacek Kołaszczyński, Grzegorz Quantitative Analysis of Foot Plantar Pressure During Walking |
title | Quantitative Analysis of Foot Plantar Pressure During Walking |
title_full | Quantitative Analysis of Foot Plantar Pressure During Walking |
title_fullStr | Quantitative Analysis of Foot Plantar Pressure During Walking |
title_full_unstemmed | Quantitative Analysis of Foot Plantar Pressure During Walking |
title_short | Quantitative Analysis of Foot Plantar Pressure During Walking |
title_sort | quantitative analysis of foot plantar pressure during walking |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6621646/ https://www.ncbi.nlm.nih.gov/pubmed/31266932 http://dx.doi.org/10.12659/MSM.914915 |
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