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Mobile Jump Assessment (mJump): A Descriptive and Inferential Study

BACKGROUND: Vertical jump tests are used in athletics and rehabilitation to measure physical performance in people of different age ranges and fitness. Jumping ability can be analyzed through different variables, and the most commonly used are fly time and jump height. They can be obtained by a vari...

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Autores principales: Mateos-Angulo, Alvaro, Galán-Mercant, Alejandro, Cuesta-Vargas, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454547/
https://www.ncbi.nlm.nih.gov/pubmed/28582259
http://dx.doi.org/10.2196/rehab.4120
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author Mateos-Angulo, Alvaro
Galán-Mercant, Alejandro
Cuesta-Vargas, Antonio
author_facet Mateos-Angulo, Alvaro
Galán-Mercant, Alejandro
Cuesta-Vargas, Antonio
author_sort Mateos-Angulo, Alvaro
collection PubMed
description BACKGROUND: Vertical jump tests are used in athletics and rehabilitation to measure physical performance in people of different age ranges and fitness. Jumping ability can be analyzed through different variables, and the most commonly used are fly time and jump height. They can be obtained by a variety of measuring devices, but most are limited to laboratory use only. The current generation of smartphones contains inertial sensors that are able to record kinematic variables for human motion analysis, since they are tools for easy access and portability for clinical use. OBJECTIVE: The aim of this study was to describe and analyze the kinematics characteristics using the inertial sensor incorporated in the iPhone 4S, the lower limbs strength through a manual dynamometer, and the jump variables obtained with a contact mat in the squat jump and countermovement jump tests (fly time and jump height) from a cohort of healthy people. METHODS: A cross sectional study was conducted on a population of healthy young adults. Twenty-seven participants performed three trials (n=81 jumps) of squat jump and countermovement jump tests. Acceleration variables were measured through a smartphone’s inertial sensor. Additionally, jump variables from a contact mat and lower limbs dynamometry were collected. RESULTS: In the present study, the kinematic variables derived from acceleration through the inertial sensor of a smartphone iPhone 4S, dynamometry of lower limbs with a handheld dynamometer, and the height and flight time with a contact mat have been described in vertical jump tests from a cohort of young healthy subjects. The development of the execution has been described, examined and identified in a squat jump test and countermovement jump test under acceleration variables that were obtained with the smartphone. CONCLUSIONS: The built-in iPhone 4S inertial sensor is able to measure acceleration variables while performing vertical jump tests for the squat jump and countermovement jump in healthy young adults. The acceleration kinematics variables derived from the smartphone’s inertial sensor are higher in the countermovement jump test than the squat jump test.
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spelling pubmed-54545472017-06-07 Mobile Jump Assessment (mJump): A Descriptive and Inferential Study Mateos-Angulo, Alvaro Galán-Mercant, Alejandro Cuesta-Vargas, Antonio JMIR Rehabil Assist Technol Original Paper BACKGROUND: Vertical jump tests are used in athletics and rehabilitation to measure physical performance in people of different age ranges and fitness. Jumping ability can be analyzed through different variables, and the most commonly used are fly time and jump height. They can be obtained by a variety of measuring devices, but most are limited to laboratory use only. The current generation of smartphones contains inertial sensors that are able to record kinematic variables for human motion analysis, since they are tools for easy access and portability for clinical use. OBJECTIVE: The aim of this study was to describe and analyze the kinematics characteristics using the inertial sensor incorporated in the iPhone 4S, the lower limbs strength through a manual dynamometer, and the jump variables obtained with a contact mat in the squat jump and countermovement jump tests (fly time and jump height) from a cohort of healthy people. METHODS: A cross sectional study was conducted on a population of healthy young adults. Twenty-seven participants performed three trials (n=81 jumps) of squat jump and countermovement jump tests. Acceleration variables were measured through a smartphone’s inertial sensor. Additionally, jump variables from a contact mat and lower limbs dynamometry were collected. RESULTS: In the present study, the kinematic variables derived from acceleration through the inertial sensor of a smartphone iPhone 4S, dynamometry of lower limbs with a handheld dynamometer, and the height and flight time with a contact mat have been described in vertical jump tests from a cohort of young healthy subjects. The development of the execution has been described, examined and identified in a squat jump test and countermovement jump test under acceleration variables that were obtained with the smartphone. CONCLUSIONS: The built-in iPhone 4S inertial sensor is able to measure acceleration variables while performing vertical jump tests for the squat jump and countermovement jump in healthy young adults. The acceleration kinematics variables derived from the smartphone’s inertial sensor are higher in the countermovement jump test than the squat jump test. JMIR Publications Inc. 2015-08-26 /pmc/articles/PMC5454547/ /pubmed/28582259 http://dx.doi.org/10.2196/rehab.4120 Text en ©Alvaro Mateos-Angulo, Alejandro Galán-Mercant, Antonio Cuesta-Vargas. Originally published in JMIR Rehabilitation and Assistive Technology (http://rehab.jmir.org), 26.08.2015. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Rehabilitation and Assistive Technology, is properly cited. The complete bibliographic information, a link to the original publication on http://rehab.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Mateos-Angulo, Alvaro
Galán-Mercant, Alejandro
Cuesta-Vargas, Antonio
Mobile Jump Assessment (mJump): A Descriptive and Inferential Study
title Mobile Jump Assessment (mJump): A Descriptive and Inferential Study
title_full Mobile Jump Assessment (mJump): A Descriptive and Inferential Study
title_fullStr Mobile Jump Assessment (mJump): A Descriptive and Inferential Study
title_full_unstemmed Mobile Jump Assessment (mJump): A Descriptive and Inferential Study
title_short Mobile Jump Assessment (mJump): A Descriptive and Inferential Study
title_sort mobile jump assessment (mjump): a descriptive and inferential study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454547/
https://www.ncbi.nlm.nih.gov/pubmed/28582259
http://dx.doi.org/10.2196/rehab.4120
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