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Ground Reaction Force Estimates from ActiGraph GT3X+ Hip Accelerations

Simple methods to quantify ground reaction forces (GRFs) outside a laboratory setting are needed to understand daily loading sustained by the body. Here, we present methods to estimate peak vertical GRF (pGRFvert) and peak braking GRF (pGRFbrake) in adults using raw hip activity monitor (AM) acceler...

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Autores principales: Neugebauer, Jennifer M., Collins, Kelsey H., Hawkins, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4051663/
https://www.ncbi.nlm.nih.gov/pubmed/24914946
http://dx.doi.org/10.1371/journal.pone.0099023
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author Neugebauer, Jennifer M.
Collins, Kelsey H.
Hawkins, David A.
author_facet Neugebauer, Jennifer M.
Collins, Kelsey H.
Hawkins, David A.
author_sort Neugebauer, Jennifer M.
collection PubMed
description Simple methods to quantify ground reaction forces (GRFs) outside a laboratory setting are needed to understand daily loading sustained by the body. Here, we present methods to estimate peak vertical GRF (pGRFvert) and peak braking GRF (pGRFbrake) in adults using raw hip activity monitor (AM) acceleration data. The purpose of this study was to develop a statistically based model to estimate pGRFvert and pGRFbrake during walking and running from ActiGraph GT3X+ AM acceleration data. 19 males and 20 females (age 21.2±1.3 years, height 1.73±0.12 m, mass 67.6±11.5 kg) wore an ActiGraph GT3X+ AM over their right hip. Six walking and six running trials (0.95–2.19 and 2.20–4.10 m/s, respectively) were completed. Average of the peak vertical and anterior/posterior AM acceleration (ACCvert and ACCbrake, respectively) and pGRFvert and pGRFbrake during the stance phase of gait were determined. Thirty randomly selected subjects served as the training dataset to develop generalized equations to predict pGRFvert and pGRFbrake. Using a holdout approach, the remaining 9 subjects were used to test the accuracy of the models. Generalized equations to predict pGRFvert and pGRFbrake included ACCvert and ACCbrake, respectively, mass, type of locomotion (walk or run), and type of locomotion acceleration interaction. The average absolute percent differences between actual and predicted pGRFvert and pGRFbrake were 8.3% and 17.8%, respectively, when the models were applied to the test dataset. Repeated measures generalized regression equations were developed to predict pGRFvert and pGRFbrake from ActiGraph GT3X+ AM acceleration for young adults walking and running. These equations provide a means to estimate GRFs without a force plate.
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spelling pubmed-40516632014-06-18 Ground Reaction Force Estimates from ActiGraph GT3X+ Hip Accelerations Neugebauer, Jennifer M. Collins, Kelsey H. Hawkins, David A. PLoS One Research Article Simple methods to quantify ground reaction forces (GRFs) outside a laboratory setting are needed to understand daily loading sustained by the body. Here, we present methods to estimate peak vertical GRF (pGRFvert) and peak braking GRF (pGRFbrake) in adults using raw hip activity monitor (AM) acceleration data. The purpose of this study was to develop a statistically based model to estimate pGRFvert and pGRFbrake during walking and running from ActiGraph GT3X+ AM acceleration data. 19 males and 20 females (age 21.2±1.3 years, height 1.73±0.12 m, mass 67.6±11.5 kg) wore an ActiGraph GT3X+ AM over their right hip. Six walking and six running trials (0.95–2.19 and 2.20–4.10 m/s, respectively) were completed. Average of the peak vertical and anterior/posterior AM acceleration (ACCvert and ACCbrake, respectively) and pGRFvert and pGRFbrake during the stance phase of gait were determined. Thirty randomly selected subjects served as the training dataset to develop generalized equations to predict pGRFvert and pGRFbrake. Using a holdout approach, the remaining 9 subjects were used to test the accuracy of the models. Generalized equations to predict pGRFvert and pGRFbrake included ACCvert and ACCbrake, respectively, mass, type of locomotion (walk or run), and type of locomotion acceleration interaction. The average absolute percent differences between actual and predicted pGRFvert and pGRFbrake were 8.3% and 17.8%, respectively, when the models were applied to the test dataset. Repeated measures generalized regression equations were developed to predict pGRFvert and pGRFbrake from ActiGraph GT3X+ AM acceleration for young adults walking and running. These equations provide a means to estimate GRFs without a force plate. Public Library of Science 2014-06-10 /pmc/articles/PMC4051663/ /pubmed/24914946 http://dx.doi.org/10.1371/journal.pone.0099023 Text en © 2014 Neugebauer 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Neugebauer, Jennifer M.
Collins, Kelsey H.
Hawkins, David A.
Ground Reaction Force Estimates from ActiGraph GT3X+ Hip Accelerations
title Ground Reaction Force Estimates from ActiGraph GT3X+ Hip Accelerations
title_full Ground Reaction Force Estimates from ActiGraph GT3X+ Hip Accelerations
title_fullStr Ground Reaction Force Estimates from ActiGraph GT3X+ Hip Accelerations
title_full_unstemmed Ground Reaction Force Estimates from ActiGraph GT3X+ Hip Accelerations
title_short Ground Reaction Force Estimates from ActiGraph GT3X+ Hip Accelerations
title_sort ground reaction force estimates from actigraph gt3x+ hip accelerations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4051663/
https://www.ncbi.nlm.nih.gov/pubmed/24914946
http://dx.doi.org/10.1371/journal.pone.0099023
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