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Validation of In-Shoe Force Sensors during Loaded Walking in Military Personnel
The loadsol(®) wireless in-shoe force sensors can be useful for in-field measurements. However, its accuracy is unknown in the military context, whereby soldiers have to carry heavy loads and walk in military boots. The purpose of this study was to establish the validity of the loadsol(®) sensors in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384313/ https://www.ncbi.nlm.nih.gov/pubmed/37514763 http://dx.doi.org/10.3390/s23146465 |
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author | Kong, Pui Wah Iskandar, Muhammad Nur Shahril Koh, Ang Hong Ho, Mei Yee Mavis Lim, Cheryl Xue Er |
author_facet | Kong, Pui Wah Iskandar, Muhammad Nur Shahril Koh, Ang Hong Ho, Mei Yee Mavis Lim, Cheryl Xue Er |
author_sort | Kong, Pui Wah |
collection | PubMed |
description | The loadsol(®) wireless in-shoe force sensors can be useful for in-field measurements. However, its accuracy is unknown in the military context, whereby soldiers have to carry heavy loads and walk in military boots. The purpose of this study was to establish the validity of the loadsol(®) sensors in military personnel during loaded walking on flat, inclined and declined surfaces. Full-time Singapore Armed Forces (SAF) personnel (n = 8) walked on an instrumented treadmill on flat, 10° inclined, and 10° declined gradients while carrying heavy loads (25 kg and 35 kg). Normal ground reaction forces (GRF), perpendicular to the contact surface, were simultaneously measured using both the loadsol(®) sensors inserted in the military boots and the Bertec instrumented treadmill as the gold standard. A total of eight variables of interest were compared between loadsol(®) and treadmill, including four kinetic (impact peak force, active peak force, impulse, loading rate) and four spatiotemporal (stance time, stride time, cadence, step length) variables. Validity was assessed using Bland–Altman plots and 95% Limits of Agreement (LoA). Bias was calculated as the mean difference between the values obtained from loadsol(®) and the instrumented treadmill. Results showed similar force-time profiles between loadsol(®) sensors and the instrumented treadmill. The bias of most variables was generally low, with a narrow range of LoA. The high accuracy and good agreement with standard laboratory equipment suggest that the loadsol(®) system is a valid tool for measuring normal GRF during walking in military boots under heavy load carriage. |
format | Online Article Text |
id | pubmed-10384313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103843132023-07-30 Validation of In-Shoe Force Sensors during Loaded Walking in Military Personnel Kong, Pui Wah Iskandar, Muhammad Nur Shahril Koh, Ang Hong Ho, Mei Yee Mavis Lim, Cheryl Xue Er Sensors (Basel) Article The loadsol(®) wireless in-shoe force sensors can be useful for in-field measurements. However, its accuracy is unknown in the military context, whereby soldiers have to carry heavy loads and walk in military boots. The purpose of this study was to establish the validity of the loadsol(®) sensors in military personnel during loaded walking on flat, inclined and declined surfaces. Full-time Singapore Armed Forces (SAF) personnel (n = 8) walked on an instrumented treadmill on flat, 10° inclined, and 10° declined gradients while carrying heavy loads (25 kg and 35 kg). Normal ground reaction forces (GRF), perpendicular to the contact surface, were simultaneously measured using both the loadsol(®) sensors inserted in the military boots and the Bertec instrumented treadmill as the gold standard. A total of eight variables of interest were compared between loadsol(®) and treadmill, including four kinetic (impact peak force, active peak force, impulse, loading rate) and four spatiotemporal (stance time, stride time, cadence, step length) variables. Validity was assessed using Bland–Altman plots and 95% Limits of Agreement (LoA). Bias was calculated as the mean difference between the values obtained from loadsol(®) and the instrumented treadmill. Results showed similar force-time profiles between loadsol(®) sensors and the instrumented treadmill. The bias of most variables was generally low, with a narrow range of LoA. The high accuracy and good agreement with standard laboratory equipment suggest that the loadsol(®) system is a valid tool for measuring normal GRF during walking in military boots under heavy load carriage. MDPI 2023-07-17 /pmc/articles/PMC10384313/ /pubmed/37514763 http://dx.doi.org/10.3390/s23146465 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kong, Pui Wah Iskandar, Muhammad Nur Shahril Koh, Ang Hong Ho, Mei Yee Mavis Lim, Cheryl Xue Er Validation of In-Shoe Force Sensors during Loaded Walking in Military Personnel |
title | Validation of In-Shoe Force Sensors during Loaded Walking in Military Personnel |
title_full | Validation of In-Shoe Force Sensors during Loaded Walking in Military Personnel |
title_fullStr | Validation of In-Shoe Force Sensors during Loaded Walking in Military Personnel |
title_full_unstemmed | Validation of In-Shoe Force Sensors during Loaded Walking in Military Personnel |
title_short | Validation of In-Shoe Force Sensors during Loaded Walking in Military Personnel |
title_sort | validation of in-shoe force sensors during loaded walking in military personnel |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384313/ https://www.ncbi.nlm.nih.gov/pubmed/37514763 http://dx.doi.org/10.3390/s23146465 |
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