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Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones

BACKGROUND: In recent years, there has been a great interest in analyzing upper-limb kinematics. Inertial measurement with mobile phones is a convenient and portable analysis method for studying humerus kinematics in terms of angular mobility and linear acceleration. OBJECTIVE: The aim of this analy...

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Autores principales: Roldan-Jimenez, Cristina, Cuesta-Vargas, Antonio, Bennett, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454566/
https://www.ncbi.nlm.nih.gov/pubmed/28582241
http://dx.doi.org/10.2196/rehab.4101
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author Roldan-Jimenez, Cristina
Cuesta-Vargas, Antonio
Bennett, Paul
author_facet Roldan-Jimenez, Cristina
Cuesta-Vargas, Antonio
Bennett, Paul
author_sort Roldan-Jimenez, Cristina
collection PubMed
description BACKGROUND: In recent years, there has been a great interest in analyzing upper-limb kinematics. Inertial measurement with mobile phones is a convenient and portable analysis method for studying humerus kinematics in terms of angular mobility and linear acceleration. OBJECTIVE: The aim of this analysis was to study upper-limb kinematics via mobile phones through six physical properties that correspond to angular mobility and acceleration in the three axes of space. METHODS: This cross-sectional study recruited healthy young adult subjects. Humerus kinematics was studied in 10 young adults with the iPhone4. They performed flexion and abduction analytical tasks. Mobility angle and lineal acceleration in each of its axes (yaw, pitch, and roll) were obtained with the iPhone4. This device was placed on the right half of the body of each subject, in the middle third of the humerus, slightly posterior. Descriptive statistics were calculated. RESULTS: Descriptive graphics of analytical tasks performed were obtained. The biggest range of motion was found in pitch angle, and the biggest acceleration was found in the y-axis in both analytical tasks. Focusing on tridimensional kinematics, bigger range of motion and acceleration was found in abduction (209.69 degrees and 23.31 degrees per second respectively). Also, very strong correlation was found between angular mobility and linear acceleration in abduction (r=.845) and flexion (r=.860). CONCLUSIONS: The use of an iPhone for humerus tridimensional kinematics is feasible. This supports use of the mobile phone as a device to analyze upper-limb kinematics and to facilitate the evaluation of the patient.
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spelling pubmed-54545662017-06-07 Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones Roldan-Jimenez, Cristina Cuesta-Vargas, Antonio Bennett, Paul JMIR Rehabil Assist Technol Original Paper BACKGROUND: In recent years, there has been a great interest in analyzing upper-limb kinematics. Inertial measurement with mobile phones is a convenient and portable analysis method for studying humerus kinematics in terms of angular mobility and linear acceleration. OBJECTIVE: The aim of this analysis was to study upper-limb kinematics via mobile phones through six physical properties that correspond to angular mobility and acceleration in the three axes of space. METHODS: This cross-sectional study recruited healthy young adult subjects. Humerus kinematics was studied in 10 young adults with the iPhone4. They performed flexion and abduction analytical tasks. Mobility angle and lineal acceleration in each of its axes (yaw, pitch, and roll) were obtained with the iPhone4. This device was placed on the right half of the body of each subject, in the middle third of the humerus, slightly posterior. Descriptive statistics were calculated. RESULTS: Descriptive graphics of analytical tasks performed were obtained. The biggest range of motion was found in pitch angle, and the biggest acceleration was found in the y-axis in both analytical tasks. Focusing on tridimensional kinematics, bigger range of motion and acceleration was found in abduction (209.69 degrees and 23.31 degrees per second respectively). Also, very strong correlation was found between angular mobility and linear acceleration in abduction (r=.845) and flexion (r=.860). CONCLUSIONS: The use of an iPhone for humerus tridimensional kinematics is feasible. This supports use of the mobile phone as a device to analyze upper-limb kinematics and to facilitate the evaluation of the patient. JMIR Publications Inc. 2015-05-20 /pmc/articles/PMC5454566/ /pubmed/28582241 http://dx.doi.org/10.2196/rehab.4101 Text en ©Cristina Roldan-Jimenez, Antonio Cuesta-Vargas, Paul Bennett. Originally published in JMIR Rehabilitation and Assistive Technology (http://rehab.jmir.org), 20.05.2015. 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
Roldan-Jimenez, Cristina
Cuesta-Vargas, Antonio
Bennett, Paul
Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones
title Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones
title_full Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones
title_fullStr Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones
title_full_unstemmed Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones
title_short Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones
title_sort studying upper-limb kinematics using inertial sensors embedded in mobile phones
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454566/
https://www.ncbi.nlm.nih.gov/pubmed/28582241
http://dx.doi.org/10.2196/rehab.4101
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