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Measurement agreement between a newly developed sensing insole and traditional laboratory-based method for footstrike pattern detection in runners
This study introduced a novel but simple method to continuously measure footstrike patterns in runners using inexpensive force sensors. Two force sensing resistors were firmly affixed at the heel and second toe of both insoles to collect the time signal of foot contact. A total of 109 healthy young...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5466274/ https://www.ncbi.nlm.nih.gov/pubmed/28599003 http://dx.doi.org/10.1371/journal.pone.0175724 |
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author | Cheung, Roy T. H. An, Winko W. Au, Ivan P. H. Zhang, Janet H. Chan, Zoe Y. S. Man, Alfred Lau, Fannie O. Y. Lam, Melody K. Y. Lau, K. K. Leung, C. Y. Tsang, N. W. Sze, Louis K. Y. Lam, Gilbert W. K. |
author_facet | Cheung, Roy T. H. An, Winko W. Au, Ivan P. H. Zhang, Janet H. Chan, Zoe Y. S. Man, Alfred Lau, Fannie O. Y. Lam, Melody K. Y. Lau, K. K. Leung, C. Y. Tsang, N. W. Sze, Louis K. Y. Lam, Gilbert W. K. |
author_sort | Cheung, Roy T. H. |
collection | PubMed |
description | This study introduced a novel but simple method to continuously measure footstrike patterns in runners using inexpensive force sensors. Two force sensing resistors were firmly affixed at the heel and second toe of both insoles to collect the time signal of foot contact. A total of 109 healthy young adults (42 males and 67 females) were recruited in this study. They ran on an instrumented treadmill at 0°, +10°, and -10° inclinations and attempted rearfoot, midfoot, and forefoot landings using real time visual biofeedback. Intra-step strike index and onset time difference between two force sensors were measured and analyzed with univariate linear regression. We analyzed 25,655 footfalls and found that onset time difference between two sensors explained 80–84% of variation in the prediction model of strike index (R-squared = 0.799–0.836, p<0.001). However, the time windows to detect footstrike patterns on different surface inclinations were not consistent. These findings may allow laboratory-based gait retraining to be implemented in natural running environments to aid in both injury prevention and performance enhancement. |
format | Online Article Text |
id | pubmed-5466274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54662742017-06-22 Measurement agreement between a newly developed sensing insole and traditional laboratory-based method for footstrike pattern detection in runners Cheung, Roy T. H. An, Winko W. Au, Ivan P. H. Zhang, Janet H. Chan, Zoe Y. S. Man, Alfred Lau, Fannie O. Y. Lam, Melody K. Y. Lau, K. K. Leung, C. Y. Tsang, N. W. Sze, Louis K. Y. Lam, Gilbert W. K. PLoS One Research Article This study introduced a novel but simple method to continuously measure footstrike patterns in runners using inexpensive force sensors. Two force sensing resistors were firmly affixed at the heel and second toe of both insoles to collect the time signal of foot contact. A total of 109 healthy young adults (42 males and 67 females) were recruited in this study. They ran on an instrumented treadmill at 0°, +10°, and -10° inclinations and attempted rearfoot, midfoot, and forefoot landings using real time visual biofeedback. Intra-step strike index and onset time difference between two force sensors were measured and analyzed with univariate linear regression. We analyzed 25,655 footfalls and found that onset time difference between two sensors explained 80–84% of variation in the prediction model of strike index (R-squared = 0.799–0.836, p<0.001). However, the time windows to detect footstrike patterns on different surface inclinations were not consistent. These findings may allow laboratory-based gait retraining to be implemented in natural running environments to aid in both injury prevention and performance enhancement. Public Library of Science 2017-06-09 /pmc/articles/PMC5466274/ /pubmed/28599003 http://dx.doi.org/10.1371/journal.pone.0175724 Text en © 2017 Cheung et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Cheung, Roy T. H. An, Winko W. Au, Ivan P. H. Zhang, Janet H. Chan, Zoe Y. S. Man, Alfred Lau, Fannie O. Y. Lam, Melody K. Y. Lau, K. K. Leung, C. Y. Tsang, N. W. Sze, Louis K. Y. Lam, Gilbert W. K. Measurement agreement between a newly developed sensing insole and traditional laboratory-based method for footstrike pattern detection in runners |
title | Measurement agreement between a newly developed sensing insole and traditional laboratory-based method for footstrike pattern detection in runners |
title_full | Measurement agreement between a newly developed sensing insole and traditional laboratory-based method for footstrike pattern detection in runners |
title_fullStr | Measurement agreement between a newly developed sensing insole and traditional laboratory-based method for footstrike pattern detection in runners |
title_full_unstemmed | Measurement agreement between a newly developed sensing insole and traditional laboratory-based method for footstrike pattern detection in runners |
title_short | Measurement agreement between a newly developed sensing insole and traditional laboratory-based method for footstrike pattern detection in runners |
title_sort | measurement agreement between a newly developed sensing insole and traditional laboratory-based method for footstrike pattern detection in runners |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5466274/ https://www.ncbi.nlm.nih.gov/pubmed/28599003 http://dx.doi.org/10.1371/journal.pone.0175724 |
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