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Quantifying forearm and wrist joint power during unconstrained movements in healthy individuals

BACKGROUND: Wrist movement-related injuries account for a large number of repetitive motion injuries. Remarkably little, if any, empirical data exist to quantify the impact of neuromuscular disorders affecting the wrist or to validate the effectiveness of rehabilitation training programs on wrist fu...

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Autores principales: Flores, Diana Castillo, Laurendeau, Simon, Teasdale, Normand, Simoneau, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237781/
https://www.ncbi.nlm.nih.gov/pubmed/25403340
http://dx.doi.org/10.1186/1743-0003-11-157
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author Flores, Diana Castillo
Laurendeau, Simon
Teasdale, Normand
Simoneau, Martin
author_facet Flores, Diana Castillo
Laurendeau, Simon
Teasdale, Normand
Simoneau, Martin
author_sort Flores, Diana Castillo
collection PubMed
description BACKGROUND: Wrist movement-related injuries account for a large number of repetitive motion injuries. Remarkably little, if any, empirical data exist to quantify the impact of neuromuscular disorders affecting the wrist or to validate the effectiveness of rehabilitation training programs on wrist functions. The aim of this project was to develop a biomechanical model for quantifying wrist and forearm kinetics during unconstrained movements, to assess its reliability and to determine its sensitivity. METHODS: Twenty healthy subjects with no history of upper arm and wrist pain volunteered for the experiment. To evaluate the reliability of the data, we quantified their forearm and wrist kinetics on two different days (minimum and maximum number of days between experimental sessions were 1 and 4 days respectively). To measure forearm and wrist kinetics, an apparatus was built to offer rotational inertia during forearm and wrist movements. An inertial measurement unit was located near the top of the device measuring its angular position along the frontal and sagittal planes. We used a mathematical model to infer forearm and wrist torque. Thereafter, we calculated the product of torque and angular velocity to determine forearm and wrist power. RESULTS: Results revealed that for 75% of the power and torque measurements the ICC was greater than 0.75 (range: 0.77 – 0.83). Torque and power measurements for adduction movements, however, were less reliable (i.e., ICC of 0.60 and 0.47, respectively) across testing sessions. The biomechanical model was robust to small measurement errors, and the power peaks between the first and second testing session were not different indicating that there was no systematic bias (i.e., motor performance improvement) between testing sessions. CONCLUSIONS: The biomechanical model can be used to assess the effectiveness of rehabilitation programs, document the progression of athletes or conduct research-oriented testing of maximum forearm and wrist kinetic capacities. Nonetheless, caution should be taken when assessing forearm and wrist power adduction movements. Future studies should aim at defining a set of normative values, for various age groups, for forearm and wrist joint torque and power in healthy individuals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1743-0003-11-157) contains supplementary material, which is available to authorized users.
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spelling pubmed-42377812014-11-21 Quantifying forearm and wrist joint power during unconstrained movements in healthy individuals Flores, Diana Castillo Laurendeau, Simon Teasdale, Normand Simoneau, Martin J Neuroeng Rehabil Research BACKGROUND: Wrist movement-related injuries account for a large number of repetitive motion injuries. Remarkably little, if any, empirical data exist to quantify the impact of neuromuscular disorders affecting the wrist or to validate the effectiveness of rehabilitation training programs on wrist functions. The aim of this project was to develop a biomechanical model for quantifying wrist and forearm kinetics during unconstrained movements, to assess its reliability and to determine its sensitivity. METHODS: Twenty healthy subjects with no history of upper arm and wrist pain volunteered for the experiment. To evaluate the reliability of the data, we quantified their forearm and wrist kinetics on two different days (minimum and maximum number of days between experimental sessions were 1 and 4 days respectively). To measure forearm and wrist kinetics, an apparatus was built to offer rotational inertia during forearm and wrist movements. An inertial measurement unit was located near the top of the device measuring its angular position along the frontal and sagittal planes. We used a mathematical model to infer forearm and wrist torque. Thereafter, we calculated the product of torque and angular velocity to determine forearm and wrist power. RESULTS: Results revealed that for 75% of the power and torque measurements the ICC was greater than 0.75 (range: 0.77 – 0.83). Torque and power measurements for adduction movements, however, were less reliable (i.e., ICC of 0.60 and 0.47, respectively) across testing sessions. The biomechanical model was robust to small measurement errors, and the power peaks between the first and second testing session were not different indicating that there was no systematic bias (i.e., motor performance improvement) between testing sessions. CONCLUSIONS: The biomechanical model can be used to assess the effectiveness of rehabilitation programs, document the progression of athletes or conduct research-oriented testing of maximum forearm and wrist kinetic capacities. Nonetheless, caution should be taken when assessing forearm and wrist power adduction movements. Future studies should aim at defining a set of normative values, for various age groups, for forearm and wrist joint torque and power in healthy individuals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1743-0003-11-157) contains supplementary material, which is available to authorized users. BioMed Central 2014-11-17 /pmc/articles/PMC4237781/ /pubmed/25403340 http://dx.doi.org/10.1186/1743-0003-11-157 Text en © Flores et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. 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 work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Flores, Diana Castillo
Laurendeau, Simon
Teasdale, Normand
Simoneau, Martin
Quantifying forearm and wrist joint power during unconstrained movements in healthy individuals
title Quantifying forearm and wrist joint power during unconstrained movements in healthy individuals
title_full Quantifying forearm and wrist joint power during unconstrained movements in healthy individuals
title_fullStr Quantifying forearm and wrist joint power during unconstrained movements in healthy individuals
title_full_unstemmed Quantifying forearm and wrist joint power during unconstrained movements in healthy individuals
title_short Quantifying forearm and wrist joint power during unconstrained movements in healthy individuals
title_sort quantifying forearm and wrist joint power during unconstrained movements in healthy individuals
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237781/
https://www.ncbi.nlm.nih.gov/pubmed/25403340
http://dx.doi.org/10.1186/1743-0003-11-157
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