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The Validity and Reliability of the Microsoft Kinect for Measuring Trunk Compensation during Reaching

Compensatory movements at the trunk are commonly utilized during reaching by persons with motor impairments due to neurological injury such as stroke. Recent low-cost motion sensors may be able to measure trunk compensation, but their validity and reliability for this application are unknown. The pu...

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Autores principales: Foreman, Matthew H., Engsberg, Jack R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763626/
https://www.ncbi.nlm.nih.gov/pubmed/33321811
http://dx.doi.org/10.3390/s20247073
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author Foreman, Matthew H.
Engsberg, Jack R.
author_facet Foreman, Matthew H.
Engsberg, Jack R.
author_sort Foreman, Matthew H.
collection PubMed
description Compensatory movements at the trunk are commonly utilized during reaching by persons with motor impairments due to neurological injury such as stroke. Recent low-cost motion sensors may be able to measure trunk compensation, but their validity and reliability for this application are unknown. The purpose of this study was to compare the first (K1) and second (K2) generations of the Microsoft Kinect to a video motion capture system (VMC) for measuring trunk compensation during reaching. Healthy participants (n = 5) performed reaching movements designed to simulate trunk compensation in three different directions and on two different days while being measured by all three sensors simultaneously. Kinematic variables related to reaching range of motion (ROM), planar reach distance, trunk flexion and lateral flexion, shoulder flexion and lateral flexion, and elbow flexion were calculated. Validity and reliability were analyzed using repeated-measures ANOVA, paired t-tests, Pearson’s correlations, and Bland-Altman limits of agreement. Results show that the K2 was closer in magnitude to the VMC, more valid, and more reliable for measuring trunk flexion and lateral flexion during extended reaches than the K1. Both sensors were highly valid and reliable for reaching ROM, planar reach distance, and elbow flexion for all conditions. Results for shoulder flexion and abduction were mixed. The K2 was more valid and reliable for measuring trunk compensation during reaching and therefore might be prioritized for future development applications. Future analyses should include a more heterogeneous clinical population such as persons with chronic hemiparetic stroke.
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spelling pubmed-77636262020-12-27 The Validity and Reliability of the Microsoft Kinect for Measuring Trunk Compensation during Reaching Foreman, Matthew H. Engsberg, Jack R. Sensors (Basel) Article Compensatory movements at the trunk are commonly utilized during reaching by persons with motor impairments due to neurological injury such as stroke. Recent low-cost motion sensors may be able to measure trunk compensation, but their validity and reliability for this application are unknown. The purpose of this study was to compare the first (K1) and second (K2) generations of the Microsoft Kinect to a video motion capture system (VMC) for measuring trunk compensation during reaching. Healthy participants (n = 5) performed reaching movements designed to simulate trunk compensation in three different directions and on two different days while being measured by all three sensors simultaneously. Kinematic variables related to reaching range of motion (ROM), planar reach distance, trunk flexion and lateral flexion, shoulder flexion and lateral flexion, and elbow flexion were calculated. Validity and reliability were analyzed using repeated-measures ANOVA, paired t-tests, Pearson’s correlations, and Bland-Altman limits of agreement. Results show that the K2 was closer in magnitude to the VMC, more valid, and more reliable for measuring trunk flexion and lateral flexion during extended reaches than the K1. Both sensors were highly valid and reliable for reaching ROM, planar reach distance, and elbow flexion for all conditions. Results for shoulder flexion and abduction were mixed. The K2 was more valid and reliable for measuring trunk compensation during reaching and therefore might be prioritized for future development applications. Future analyses should include a more heterogeneous clinical population such as persons with chronic hemiparetic stroke. MDPI 2020-12-10 /pmc/articles/PMC7763626/ /pubmed/33321811 http://dx.doi.org/10.3390/s20247073 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Foreman, Matthew H.
Engsberg, Jack R.
The Validity and Reliability of the Microsoft Kinect for Measuring Trunk Compensation during Reaching
title The Validity and Reliability of the Microsoft Kinect for Measuring Trunk Compensation during Reaching
title_full The Validity and Reliability of the Microsoft Kinect for Measuring Trunk Compensation during Reaching
title_fullStr The Validity and Reliability of the Microsoft Kinect for Measuring Trunk Compensation during Reaching
title_full_unstemmed The Validity and Reliability of the Microsoft Kinect for Measuring Trunk Compensation during Reaching
title_short The Validity and Reliability of the Microsoft Kinect for Measuring Trunk Compensation during Reaching
title_sort validity and reliability of the microsoft kinect for measuring trunk compensation during reaching
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763626/
https://www.ncbi.nlm.nih.gov/pubmed/33321811
http://dx.doi.org/10.3390/s20247073
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